On the public citation graph

NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study

https://doi.org/10.1109/cvprw.2019.00251

0 signed · 583 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01219-9_7openalex-snapshot

Spatio-Temporal Transformer Network for Video Restoration

inferredcites →https://doi.org/10.1007/978-3-030-01234-2_1openalex-snapshot

CBAM: Convolutional Block Attention Module

inferredcites →https://doi.org/10.1007/978-3-030-01234-2_18openalex-snapshot

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

inferredcites →https://doi.org/10.1007/978-3-030-11021-5_21openalex-snapshot

The 2018 PIRM Challenge on Perceptual Image Super-Resolution

inferredcites →https://doi.org/10.1007/978-3-319-10593-2_25openalex-snapshot

Single-Image Super-Resolution: A Benchmark

inferredcites →https://doi.org/10.1007/978-3-319-10599-4_16openalex-snapshot

Modeling Blurred Video with Layers

inferredcites →https://doi.org/10.1007/978-3-319-46475-6_25openalex-snapshot

Accelerating the Super-Resolution Convolutional Neural Network

inferredcites →https://doi.org/10.1007/978-3-319-46475-6_43openalex-snapshot

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

inferredcites →https://doi.org/10.1007/978-3-642-33786-4_3openalex-snapshot

Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database

inferredcites →https://doi.org/10.1109/cvpr.2011.5995614openalex-snapshot

A Bayesian approach to adaptive video super resolution

inferredcites →https://doi.org/10.1109/cvpr.2015.7299156openalex-snapshot

Single image super-resolution from transformed self-exemplars

inferredcites →https://doi.org/10.1109/cvpr.2015.7299181openalex-snapshot

Generalized video deblurring for dynamic scenes

inferredcites →https://doi.org/10.1109/cvpr.2016.206openalex-snapshot

Seven Ways to Improve Example-Based Single Image Super Resolution

inferredcites →https://doi.org/10.1109/cvpr.2016.207openalex-snapshot

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

inferredcites →https://doi.org/10.1109/cvpr.2017.19openalex-snapshot

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

inferredcites →https://doi.org/10.1109/cvpr.2017.304openalex-snapshot

Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation

inferredcites →https://doi.org/10.1109/cvpr.2017.33openalex-snapshot

Deep Video Deblurring for Hand-Held Cameras

inferredcites →https://doi.org/10.1109/cvpr.2017.35openalex-snapshot

Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring

inferredcites →https://doi.org/10.1109/cvpr.2018.00262openalex-snapshot

Residual Dense Network for Image Super-Resolution

inferredcites →https://doi.org/10.1109/cvpr.2018.00340openalex-snapshot

Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation

inferredcites →https://doi.org/10.1109/cvpr.2018.00693openalex-snapshot

Frame-Recurrent Video Super-Resolution

inferredcites →https://doi.org/10.1109/cvpr.2018.00854openalex-snapshot

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

inferredcites →https://doi.org/10.1109/cvprw.2017.150openalex-snapshot

NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study

inferredcites →https://doi.org/10.1109/cvprw.2017.151openalex-snapshot

Enhanced Deep Residual Networks for Single Image Super-Resolution

inferredcites →https://doi.org/10.1109/cvprw.2018.00130openalex-snapshot

NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results

inferredcites →https://doi.org/10.1109/cvprw.2019.00247openalex-snapshot

EDVR: Video Restoration With Enhanced Deformable Convolutional Networks

inferredcites →https://doi.org/10.1109/cvprw.2019.00255openalex-snapshot

Adapting Image Super-Resolution State-Of-The-Arts and Learning Multi-Model Ensemble for Video Super-Resolution

inferredcites →https://doi.org/10.1109/cvprw.2019.00274openalex-snapshot

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results

inferredcites →https://doi.org/10.1109/iccv.2013.241openalex-snapshot

Anchored Neighborhood Regression for Fast Example-Based Super-Resolution

inferredcites →https://doi.org/10.1109/iccv.2017.274openalex-snapshot

Robust Video Super-Resolution with Learned Temporal Dynamics

inferredcites →https://doi.org/10.1109/iccv.2017.34openalex-snapshot

Learning Blind Motion Deblurring

inferredcites →https://doi.org/10.1109/iccv.2017.37openalex-snapshot

Video Frame Interpolation via Adaptive Separable Convolution

inferredcites →https://doi.org/10.1109/iccv.2017.435openalex-snapshot

Online Video Deblurring via Dynamic Temporal Blending Network

inferredcites →https://doi.org/10.1109/iccv.2017.479openalex-snapshot

Detail-Revealing Deep Video Super-Resolution

inferredcites →https://doi.org/10.1109/icip.1999.817091openalex-snapshot

Dynamic range improvement through multiple exposures

inferredcites →https://doi.org/10.1109/tci.2016.2532323openalex-snapshot

Video Super-Resolution With Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-snapshot

Image quality assessment: from error visibility to structural similarity

inferredcites →https://doi.org/10.1109/tpami.2017.2761348openalex-snapshot

Dynamic Video Deblurring Using a Locally Adaptive Blur Model

inferredcites →https://doi.org/10.1145/2185520.2185560openalex-snapshot

Video deblurring for hand-held cameras using patch-based synthesis

inferredcites →https://doi.org/10.48550/arxiv.1607.02586openalex-snapshot

Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks

inferredcites →https://doi.org/10.48550/arxiv.1808.08718openalex-snapshot

Wide Activation for Efficient and Accurate Image Super-Resolution

inferredcites →https://doi.org/10.48550/arxiv.1905.02716openalex-snapshot

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4679125openalex-extracted

inferred← citeshttps://doi.org/10.1007/978-3-030-58539-6_12openalex-snapshot

Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring

inferred← citeshttps://doi.org/10.1007/978-3-030-58539-6_20openalex-snapshot

Multi-Temporal Recurrent Neural Networks for Progressive Non-uniform Single Image Deblurring with Incremental Temporal Training

inferred← citeshttps://doi.org/10.1007/978-3-030-58595-2_12openalex-snapshot

Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms

inferred← citeshttps://doi.org/10.1007/978-3-030-58601-0_10openalex-snapshot

Event Enhanced High-Quality Image Recovery

inferred← citeshttps://doi.org/10.1007/978-3-030-58607-2_20openalex-snapshot

MuCAN: Multi-correspondence Aggregation Network for Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-030-58607-2_41openalex-snapshot

Deep Space-Time Video Upsampling Networks

inferred← citeshttps://doi.org/10.1007/978-3-030-66823-5_2openalex-snapshot

AIM 2020 Challenge on Video Temporal Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-030-66823-5_3openalex-snapshot

Enhanced Quadratic Video Interpolation

inferred← citeshttps://doi.org/10.1007/978-3-030-66823-5_4openalex-snapshot

AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results

inferred← citeshttps://doi.org/10.1007/978-3-030-66823-5_7openalex-snapshot

Deep Plug-and-Play Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-030-67070-2_41openalex-snapshot

Quantized Warping and Residual Temporal Integration for Video Super-Resolution on Fast Motions

inferred← citeshttps://doi.org/10.1007/978-3-030-67070-2_9openalex-snapshot

AIM 2020 Challenge on Learned Image Signal Processing Pipeline

inferred← citeshttps://doi.org/10.1007/978-3-030-68238-5_30openalex-snapshot

Residual and Dense UNet for Under-Display Camera Restoration

inferred← citeshttps://doi.org/10.1007/978-3-030-87361-5_21openalex-snapshot

Multi-scale Deformable Deblurring Kernel Prediction for Dynamic Scene Deblurring

inferred← citeshttps://doi.org/10.1007/978-3-031-11349-9_32openalex-snapshot

FMD-cGAN: Fast Motion Deblurring Using Conditional Generative Adversarial Networks

inferred← citeshttps://doi.org/10.1007/978-3-031-19790-1_14openalex-snapshot

A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-031-19797-0_10openalex-snapshot

Learning Spatio-Temporal Downsampling for Effective Video Upscaling

inferred← citeshttps://doi.org/10.1007/978-3-031-19797-0_15openalex-snapshot

Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-031-19797-0_23openalex-snapshot

Towards Interpretable Video Super-Resolution via Alternating Optimization

inferred← citeshttps://doi.org/10.1007/978-3-031-19797-0_26openalex-snapshot

TAPE: Task-Agnostic Prior Embedding for Image Restoration

inferred← citeshttps://doi.org/10.1007/978-3-031-19800-7_35openalex-snapshot

Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance

inferred← citeshttps://doi.org/10.1007/978-3-031-20068-7_33openalex-snapshot

LEDNet: Joint Low-Light Enhancement and Deblurring in the Dark

inferred← citeshttps://doi.org/10.1007/978-3-031-20068-7_35openalex-snapshot

Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset

inferred← citeshttps://doi.org/10.1007/978-3-031-20068-7_38openalex-snapshot

NEST: Neural Event Stack for Event-Based Image Enhancement

inferred← citeshttps://doi.org/10.1007/978-3-031-20071-7_29openalex-snapshot

Realistic Blur Synthesis for Learning Image Deblurring

inferred← citeshttps://doi.org/10.1007/978-3-031-25063-7_20openalex-snapshot

Towards Real-World Video Deblurring by Exploring Blur Formation Process

inferred← citeshttps://doi.org/10.1007/978-3-031-25063-7_33openalex-snapshot

RCBSR: Re-parameterization Convolution Block for Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-031-25063-7_37openalex-snapshot

Sliding Window Recurrent Network for Efficient Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-031-25066-8_6openalex-snapshot

Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report

inferred← citeshttps://doi.org/10.1007/978-3-031-46317-4_15openalex-snapshot

Multi-scale Non-local Bidirectional Fusion for Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-031-50069-5_30openalex-snapshot

An Efficient and Lightweight Structure for Spatial-Temporal Feature Extraction in Video Super Resolution

inferred← citeshttps://doi.org/10.1007/978-3-031-53305-1_23openalex-snapshot

MetaVSR: A Novel Approach to Video Super-Resolution for Arbitrary Magnification

inferred← citeshttps://doi.org/10.1007/978-3-031-57679-9_7openalex-snapshot

Efficient Video Understanding

inferred← citeshttps://doi.org/10.1007/978-3-031-59057-3_17openalex-snapshot

Utilizing Dataset Affinity Prediction in Object Detection to Assess Training Data

inferred← citeshttps://doi.org/10.1007/978-3-031-71253-1_17openalex-snapshot

Cascaded Sliding-Window-Based Relativistic GAN Fusion for Perceptual and Consistent Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-031-72784-9_13openalex-snapshot

Motion-Guided Latent Diffusion for Temporally Consistent Real-World Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-031-72943-0_1openalex-snapshot

CMTA: Cross-Modal Temporal Alignment for Event-Guided Video Deblurring

inferred← citeshttps://doi.org/10.1007/978-3-031-72946-1_13openalex-snapshot

Event-Adapted Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-031-72998-0_5openalex-snapshot

Arbitrary-Scale Video Super-Resolution with Structural and Textural Priors

inferred← citeshttps://doi.org/10.1007/978-3-031-73195-2_12openalex-snapshot

Two-Stage Video Shadow Detection via Temporal-Spatial Adaption

inferred← citeshttps://doi.org/10.1007/978-3-031-73254-6_3openalex-snapshot

Enhancing Perceptual Quality in Video Super-Resolution Through Temporally-Consistent Detail Synthesis Using Diffusion Models

inferred← citeshttps://doi.org/10.1007/978-3-031-73397-0_24openalex-snapshot

RealViformer: Investigating Attention for Real-World Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-031-78125-4_11openalex-snapshot

A Novel Encoder-Decoder Network with Multi-domain Information Fusion for Video Deblurring

inferred← citeshttps://doi.org/10.1007/978-3-031-78444-6_1openalex-snapshot

6-DOF Motion Blur Synthesis and Performance Evaluation of Object Detection

inferred← citeshttps://doi.org/10.1007/978-3-031-91838-4_10openalex-snapshot

DAVIDE: Depth-Aware Video Deblurring

inferred← citeshttps://doi.org/10.1007/978-3-031-91838-4_15openalex-snapshot

PDB Unet: A Spatio Temporal Video Fixed Pattern Noise Removal Network

inferred← citeshttps://doi.org/10.1007/978-3-031-91856-8_18openalex-snapshot

AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content

inferred← citeshttps://doi.org/10.1007/978-3-031-92460-6_2openalex-snapshot

Event-Based Motion Deblurring with Dual Channel Attention

inferred← citeshttps://doi.org/10.1007/978-3-032-04546-1_8openalex-snapshot

Efficient Real-Time On-Mobile Video Super-Resolution with Automatic Evolutionary Neural Architecture Search

inferred← citeshttps://doi.org/10.1007/978-3-032-04947-6_8openalex-snapshot

Blind Restoration of High-Resolution Ultrasound Video

inferred← citeshttps://doi.org/10.1007/978-3-032-14495-9_9openalex-snapshot

CMAD: Conditional Modeling-Adapter Diffusion for Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-032-19108-3_14openalex-snapshot

Evaluating Restoration Robustness Under Historically-Inspired Synthetic Degradation

inferred← citeshttps://doi.org/10.1007/978-3-032-21966-4_26openalex-snapshot

AI-Powered Video Frame Interpolation

inferred← citeshttps://doi.org/10.1007/978-3-032-22267-1_19openalex-snapshot

SCAU-Net: An Efficient Module for Multi-scale Feature Extraction and Aggregation in Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-032-36839-3_18openalex-snapshot

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-regressive Diffusion

inferred← citeshttps://doi.org/10.1007/978-3-032-37020-4_22openalex-snapshot

SparkVSR: Interactive Video Super-Resolution via Sparse Keyframe Propagation

inferred← citeshttps://doi.org/10.1007/978-3-032-37095-2_10openalex-snapshot

TAQ: Static-Deployable Temporal-Aware Quantization for Real-World Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-032-37132-4_12openalex-snapshot

A Benchmark for Heterogeneous Stereo Deblurring with Physically- and Epipolar-Constrained Cross Attention

inferred← citeshttps://doi.org/10.1007/978-3-032-37356-4_34openalex-snapshot

NanoVSR: Towards Real-Time Video Super-Resolution on Edge Devices

inferred← citeshttps://doi.org/10.1007/978-3-032-37429-5_35openalex-snapshot

EvDiff: Event-Based Video Reconstruction Using One-Step Diffusion Models

inferred← citeshttps://doi.org/10.1007/978-3-032-37517-9_5openalex-snapshot

AVSR-Diff: Scale-Agnostic Diffusion Priors for Temporally Consistent Arbitrary-Scale Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-032-37577-3_15openalex-snapshot

Improving Image-to-Image Translation via a Rectified Flow Reformulation

inferred← citeshttps://doi.org/10.1007/978-3-032-37718-0_36openalex-snapshot

High-Speed Imaging Through Turbulence with Event-Based Light Fields

inferred← citeshttps://doi.org/10.1007/978-981-95-4821-7_29openalex-snapshot

Spatial Attention-Driven Feature Alignment for Underwater Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-981-96-2061-6_19openalex-snapshot

Lightweight Motion-Aware Video Super-Resolution for Compressed Videos

inferred← citeshttps://doi.org/10.1007/978-981-96-2061-6_6openalex-snapshot

Hybrid Scalable Video Coding with Neural Compression and Enhancement for Streaming Media

inferred← citeshttps://doi.org/10.1007/978-981-96-2071-5_12openalex-snapshot

TDM: Temporally-Consistent Diffusion Model for All-in-One Real-World Video Restoration

inferred← citeshttps://doi.org/10.1007/978-981-96-2644-1_19openalex-snapshot

Towards Robust Video Frame Interpolation with Long-Term Propagation

inferred← citeshttps://doi.org/10.1007/978-981-96-4279-3_20openalex-snapshot

Lightweight Spatio-Temporal Attention Network for Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-981-97-1714-9_3openalex-snapshot

Video Deblocking Using Multipath Deep Neural Networks

inferred← citeshttps://doi.org/10.1007/978-981-97-5492-2_9openalex-snapshot

DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification

inferred← citeshttps://doi.org/10.1007/978-981-97-8508-7_34openalex-snapshot

Enhanced Spatial Adaptive Fusion Network For Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-981-97-8508-7_37openalex-snapshot

Residual Hybrid Attention Enhanced Video Super-Resolution with Cross Convolution

inferred← citeshttps://doi.org/10.1007/978-981-97-8692-3_22openalex-snapshot

Advancing Surveillance Video Clarity and Transmission: A Real-Time Video Super-Resolution Model with Background Information Awareness

inferred← citeshttps://doi.org/10.1007/978-981-99-8070-3_24openalex-snapshot

A Fast and Scalable Frame-Recurrent Video Super-Resolution Framework

inferred← citeshttps://doi.org/10.1007/978-981-99-8549-4_16openalex-snapshot

Self-guided Transformer for Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/s00034-026-03591-6openalex-snapshot

OmniDeblur-MoE: Cross-Modality Deblurring Using a Lightweight Transformer-Based Mixture-of-Experts (MoE) Framework

inferred← citeshttps://doi.org/10.1007/s00371-023-02991-yopenalex-snapshot

RT-Deblur: real-time image deblurring for object detection

inferred← citeshttps://doi.org/10.1007/s00371-024-03390-7openalex-snapshot

A novel dynamic scene deblurring framework based on hybrid activation and edge-assisted dual-branch residuals

inferred← citeshttps://doi.org/10.1007/s00371-024-03488-yopenalex-snapshot

Semantic guidance incremental network for efficiency video super-resolution

inferred← citeshttps://doi.org/10.1007/s00371-025-04006-4openalex-snapshot

Transforming time and space: efficient video super-resolution with hybrid attention and deformable transformers

inferred← citeshttps://doi.org/10.1007/s00521-023-09065-zopenalex-snapshot

Efficient lightweight network for video super-resolution

inferred← citeshttps://doi.org/10.1007/s00603-025-04652-zopenalex-snapshot

Exposed Linear Discontinuity Recognition on A High Steep Slope Using UAV Multi-source Image Fusion

inferred← citeshttps://doi.org/10.1007/s10462-022-10147-yopenalex-snapshot

Video super-resolution based on deep learning: a comprehensive survey

inferred← citeshttps://doi.org/10.1007/s10462-022-10302-5openalex-snapshot

Video restoration based on deep learning: a comprehensive survey

inferred← citeshttps://doi.org/10.1007/s10462-025-11488-0openalex-snapshot

A review of neural architecture search methods for super-resolution imaging

inferred← citeshttps://doi.org/10.1007/s10489-022-03364-zopenalex-snapshot

IAA-VSR: An iterative alignment algorithm for video super-resolution

inferred← citeshttps://doi.org/10.1007/s10489-022-03603-3openalex-snapshot

Learning a spatial-temporal symmetry network for video super-resolution

inferred← citeshttps://doi.org/10.1007/s10851-025-01246-wopenalex-snapshot

Assessing the Role of Datasets in the Generalization of Motion Deblurring Methods to Real Images

inferred← citeshttps://doi.org/10.1007/s10994-025-06801-5openalex-snapshot

Leveraging differentiable NAS and abstract genetic algorithms for optimizing on-mobile VSR performance

inferred← citeshttps://doi.org/10.1007/s11042-023-16072-8openalex-snapshot

Bidirectional Multi-scale Deformable Attention for Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/s11042-023-16134-xopenalex-snapshot

GAN with CCSO: generative adversarial network-driven CAViaR competitive swarm optimizer for medical video super resolution

inferred← citeshttps://doi.org/10.1007/s11042-024-20222-xopenalex-snapshot

Effective video deblurring based on feature-enhanced deep learning network for daytime and nighttime images

inferred← citeshttps://doi.org/10.1007/s11227-025-07659-zopenalex-snapshot

CVSR: complex-valued networks for video super-resolution

inferred← citeshttps://doi.org/10.1007/s11263-022-01633-5openalex-snapshot

Deep Image Deblurring: A Survey

inferred← citeshttps://doi.org/10.1007/s11263-022-01705-6openalex-snapshot

Real-World Video Deblurring: A Benchmark Dataset and an Efficient Recurrent Neural Network

inferred← citeshttps://doi.org/10.1007/s11263-023-01883-xopenalex-snapshot

Blind Image Deblurring with Unknown Kernel Size and Substantial Noise

inferred← citeshttps://doi.org/10.1007/s11263-023-01958-9openalex-snapshot

Fast Ultra High-Definition Video Deblurring via Multi-scale Separable Network

inferred← citeshttps://doi.org/10.1007/s11263-025-02522-3openalex-snapshot

Reblurring-Guided Single Image Defocus Deblurring: A Learning Framework with Misaligned Training Pairs

inferred← citeshttps://doi.org/10.1007/s11263-025-02570-9openalex-snapshot

Diffusion Models for Image Restoration and Enhancement: A Comprehensive Survey

inferred← citeshttps://doi.org/10.1007/s11263-026-02812-4openalex-snapshot

SAVSR++: An All-Stage Scale-Aware and Temporal Omniscient Framework for Arbitrary-Scale Video Super-Resolution

inferred← citeshttps://doi.org/10.1007/s11760-024-03436-2openalex-snapshot

Dense video super-resolution time-differential network with feature enrichment module

inferred← citeshttps://doi.org/10.1007/s13042-025-02543-xopenalex-snapshot

Improving bi-directional recurrent network for video super-resolution with deformable motion alignment structure

inferred← citeshttps://doi.org/10.1007/s44443-026-00744-0openalex-snapshot

A codec-aware framework for robust video hiding via frame-type-specific distortion simulation

inferred← citeshttps://doi.org/10.1007/s44443-026-01322-0openalex-snapshot

CASTNet: a content-adaptive spatio-temporal network for robust video hiding

inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110422openalex-snapshot

HiRN: Hierarchical recurrent neural network for video super-resolution (VSR) using two-stage feature evolution

inferred← citeshttps://doi.org/10.1016/j.bspc.2022.103827openalex-snapshot

Deformable transformer for endoscopic video super-resolution

inferred← citeshttps://doi.org/10.1016/j.cviu.2025.104462openalex-snapshot

Multiscale Spatio-Temporal Fusion Network for video dehazing

inferred← citeshttps://doi.org/10.1016/j.displa.2023.102614openalex-snapshot

A survey on learning-based low-light image and video enhancement

inferred← citeshttps://doi.org/10.1016/j.displa.2025.103034openalex-snapshot

Enhancing real-time UHD intra-frame coding with parallel–serial hybrid neural networks

inferred← citeshttps://doi.org/10.1016/j.displa.2025.103281openalex-snapshot

TAFCNet: Task-aware feature coupling network for joint image motion deblurring and super-resolution

inferred← citeshttps://doi.org/10.1016/j.displa.2026.103423openalex-snapshot

Single blind image deblurring: advances and prospects

inferred← citeshttps://doi.org/10.1016/j.displa.2026.103592openalex-snapshot

Perception-coherent video super-resolution via Top-K Mamba: Unified global–local spatio-temporal feature learning

inferred← citeshttps://doi.org/10.1016/j.dsp.2021.103008openalex-snapshot

Dual attention per-pixel filter network for spatially varying image deblurring

inferred← citeshttps://doi.org/10.1016/j.dsp.2025.105098openalex-snapshot

HAMSA: Hybrid attention transformer and multi-scale alignment aggregation network for video super-resolution

inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106216openalex-snapshot

Super-resolution network with dynamic cleanup and temporal–spatial attention for compressed videos

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.113714openalex-snapshot

Hierarchical recurrent transformer network for video super-resolution

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122252openalex-snapshot

Kernel adaptive memory network for blind video super-resolution

inferred← citeshttps://doi.org/10.1016/j.image.2021.116167openalex-snapshot

Real-time video super resolution network using recurrent multi-branch dilated convolutions

inferred← citeshttps://doi.org/10.1016/j.image.2024.117175openalex-snapshot

A ‘deep’ review of video super-resolution

inferred← citeshttps://doi.org/10.1016/j.inffus.2022.10.007openalex-snapshot

Image super-resolution: A comprehensive review, recent trends, challenges and applications

inferred← citeshttps://doi.org/10.1016/j.infrared.2023.104640openalex-snapshot

HCTIRdeblur: A hybrid convolution-transformer network for single infrared image deblurring

inferred← citeshttps://doi.org/10.1016/j.jisa.2023.103515openalex-snapshot

VHNet: A Video Hiding Network with robustness to video coding

inferred← citeshttps://doi.org/10.1016/j.jvcir.2022.103663openalex-snapshot

Joint strong edge and multi-stream adaptive fusion network for non-uniform image deblurring

inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112773openalex-snapshot

Cross-scale hierarchical spatio-temporal transformer for video enhancement

inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116206openalex-snapshot

DyLite-VSR: A dynamic and lightweight video super-resolution network for highly compressed videos

inferred← citeshttps://doi.org/10.1016/j.measurement.2021.109104openalex-snapshot

Sparse representation of complex steerable pyramid for machine fault diagnosis by using non-contact video motion to replace conventional accelerometers

inferred← citeshttps://doi.org/10.1016/j.measurement.2026.120765openalex-snapshot

Data augmentation method for Real-Time defects recognition of rotating involute tooth surface

inferred← citeshttps://doi.org/10.1016/j.neucom.2022.02.013openalex-snapshot

L0 structure-prior assisted blur-intensity aware efficient video deblurring

inferred← citeshttps://doi.org/10.1016/j.neucom.2022.02.067openalex-snapshot

High-resolution optical flow and frame-recurrent network for video super-resolution and deblurring

inferred← citeshttps://doi.org/10.1016/j.neucom.2022.04.126openalex-snapshot

A survey on multimodal-guided visual content synthesis

inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107435openalex-snapshot

FSDM: An efficient video super-resolution method based on Frames-Shift Diffusion Model

inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110602openalex-snapshot

Looking beyond input frames: Self-supervised adaptation for video super-resolution

inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110935openalex-snapshot

A review of deep-learning-based super-resolution: From methods to applications

inferred← citeshttps://doi.org/10.1016/j.patrec.2024.04.020openalex-snapshot

Unsupervised face image deblurring via disentangled representation learning

inferred← citeshttps://doi.org/10.1016/j.procs.2025.09.114openalex-snapshot

Reading Between the Blurs: A Comparative Analysis of Motion Deblurring Methods for Vehicle License Plate OCR

inferred← citeshttps://doi.org/10.1016/j.sna.2021.112928openalex-snapshot

Deep learning-enabled resolution-enhancement in mini- and regular microscopy for biomedical imaging

inferred← citeshttps://doi.org/10.1038/s41598-023-40297-0openalex-snapshot

Video reconstruction from a single motion blurred image using learned dynamic phase coding

inferred← citeshttps://doi.org/10.1038/s41598-024-69674-zopenalex-snapshot

Real-world video superresolution enhancement method based on the adaptive down-sampling model

inferred← citeshttps://doi.org/10.1049/ell2.12805openalex-snapshot

Multiregression spatially variant blur kernel estimation based on inter‐kernel consistency

inferred← citeshttps://doi.org/10.1049/ipr2.12634openalex-snapshot

Motion deblurring algorithm for wind power inspection images based on Ghostnet and SE attention mechanism

inferred← citeshttps://doi.org/10.1049/ipr2.13029openalex-snapshot

Real‐world image deblurring using data synthesis and feature complementary network

inferred← citeshttps://doi.org/10.1049/ipr2.70026openalex-snapshot

Deformable Attention Network for Efficient Space‐Time Video Super‐Resolution

inferred← citeshttps://doi.org/10.1080/02533839.2024.2383573openalex-snapshot

Recurrent feature supplementation network for video super-resolution

inferred← citeshttps://doi.org/10.1080/02533839.2025.2511262openalex-snapshot

Improved YOLOv5 network for recognizing fuzzy image detection

inferred← citeshttps://doi.org/10.1080/13682199.2026.2624222openalex-snapshot

Enhancing temporal consistency in video super-resolution using optical flow-guided deep networks

inferred← citeshttps://doi.org/10.1088/1742-6596/2634/1/012034openalex-snapshot

Image deblurring: comparison and analysis

inferred← citeshttps://doi.org/10.1109/access.2021.3074199openalex-snapshot

Dataset and Network Structure: Towards Frames Selection for Fast Video Deblurring

inferred← citeshttps://doi.org/10.1109/access.2021.3130177openalex-snapshot

A New Full-Reference Image Quality Metric for Motion Blur Profile Characterization

inferred← citeshttps://doi.org/10.1109/access.2022.3190089openalex-snapshot

Continuous Facial Motion Deblurring

inferred← citeshttps://doi.org/10.1109/access.2022.3194524openalex-snapshot

High-Frequency Attention Residual GAN Network for Blind Motion Deblurring

inferred← citeshttps://doi.org/10.1109/access.2023.3250616openalex-snapshot

A Comprehensive Review of Deep Learning-Based Real-World Image Restoration

inferred← citeshttps://doi.org/10.1109/access.2023.3321976openalex-snapshot

Dual-Stage Super-Resolution for Edge Devices

inferred← citeshttps://doi.org/10.1109/access.2024.3406476openalex-snapshot

A Novel Zero-Shot Real World Spatio-Temporal Super-Resolution (ZS-RW-STSR) Model for Video Super-Resolution

inferred← citeshttps://doi.org/10.1109/access.2024.3455289openalex-snapshot

Video Variational Deep Atmospheric Turbulence Correction

inferred← citeshttps://doi.org/10.1109/access.2025.3529758openalex-snapshot

VSRDiff: Learning Inter-Frame Temporal Coherence in Diffusion Model for Video Super-Resolution

inferred← citeshttps://doi.org/10.1109/access.2025.3582850openalex-snapshot

A Review of Learning-Based Methods for Adaptive Video Streaming Over HTTP

inferred← citeshttps://doi.org/10.1109/access.2026.3660952openalex-snapshot

Dual Attention XYDeblur: Attention-Guided Divide-and-Conquer Strategy for Image Deblurring

inferred← citeshttps://doi.org/10.1109/cisp-bmei56279.2022.9980235openalex-snapshot

Deep Video Compressive Sensing with Attention-Aware Bidirectional Propagation Network

inferred← citeshttps://doi.org/10.1109/cits58301.2023.10188805openalex-snapshot

Multi-frame Correlated Representation Network for Video Super-Resolution

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00175openalex-snapshot

Improved Handling of Motion Blur in Online Object Detection

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00491openalex-snapshot

BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00763openalex-snapshot

ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00902openalex-snapshot

Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00910openalex-snapshot

Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01176openalex-snapshot

Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01178openalex-snapshot

Explore Image Deblurring via Encoded Blur Kernel Space

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01182openalex-snapshot

Spk2ImgNet: Learning to Reconstruct Dynamic Scene from Continuous Spike Stream

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00091openalex-snapshot

Stable Long-Term Recurrent Video Super-Resolution

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00558openalex-snapshot

Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00560openalex-snapshot

Learning Trajectory-Aware Transformer for Video Super-Resolution

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00587openalex-snapshot

Investigating Tradeoffs in Real-World Video Super-Resolution

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00588openalex-snapshot

BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00596openalex-snapshot

Revisiting Temporal Alignment for Video Restoration

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00765openalex-snapshot

E-CIR: Event-Enhanced Continuous Intensity Recovery

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01689openalex-snapshot

Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01695openalex-snapshot

A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01710openalex-snapshot

Video Demoiréing with Relation-Based Temporal Consistency

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01717openalex-snapshot

Bringing Old Films Back to Life

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01724openalex-snapshot

Unifying Motion Deblurring and Frame Interpolation with Events

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00061openalex-snapshot

Recovering 3D Hand Mesh Sequence from a Single Blurry Image: A New Dataset and Temporal Unfolding

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00156openalex-snapshot

Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00553openalex-snapshot

Blur Interpolation Transformer for Real-World Motion from Blur

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00989openalex-snapshot

Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01196openalex-snapshot

Cross-Guided Optimization of Radiance Fields with Multi-View Image Super-Resolution for High-Resolution Novel View Synthesis

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01336openalex-snapshot

EvShutter: Transforming Events for Unconstrained Rolling Shutter Correction

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01731openalex-snapshot

Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.02168openalex-snapshot

Structured Sparsity Learning for Efficient Video Super-Resolution

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.00013openalex-snapshot

FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.00245openalex-snapshot

Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.00246openalex-snapshot

Enhancing Video Super-Resolution via Implicit Resampling-based Alignment

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.00882openalex-snapshot

Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01208openalex-snapshot

InstructDiffusion: A Generalist Modeling Interface for Vision Tasks

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02349openalex-snapshot

Super-Resolution Reconstruction from Bayer-Pattern Spike Streams

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02357openalex-snapshot

Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02366openalex-snapshot

Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02400openalex-snapshot

Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02456openalex-snapshot

Deep Video Inverse Tone Mapping Based on Temporal Clues

inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.00205openalex-snapshot

VideoGigaGAN: Towards Detail-rich Video Super-Resolution

showing the first 200 of 541

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.