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Space-time super-resolution from a single video

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What this work says

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

inferredcites →https://doi.org/10.1007/3-540-61123-1_171openalex-snapshot
Motion deblurring and super-resolution from an image sequence
inferredcites →https://doi.org/10.1007/978-0-85729-384-8openalex-snapshot
Image Mosaicing and Super-resolution
inferredcites →https://doi.org/10.1007/978-3-642-15558-1_3openalex-snapshot
The Generalized PatchMatch Correspondence Algorithm
inferredcites →https://doi.org/10.1007/978-3-642-19315-6_8openalex-snapshot
Video Temporal Super-Resolution Based on Self-similarity
inferredcites →https://doi.org/10.1007/978-3-642-19315-6_9openalex-snapshot
Temporal Super Resolution from a Single Quasi-periodic Image Sequence Based on Phase Registration
inferredcites →https://doi.org/10.1007/s11263-006-0001-4openalex-snapshot
Video Epitomes
inferredcites →https://doi.org/10.1016/1049-9652(91)90045-lopenalex-snapshot
Improving resolution by image registration
inferredcites →https://doi.org/10.1109/38.988747openalex-snapshot
Example-based super-resolution
inferredcites →https://doi.org/10.1109/cvpr.2000.854852openalex-snapshot
Limits on super-resolution and how to break them
inferredcites →https://doi.org/10.1109/iccv.2009.5459271openalex-snapshot
Super-resolution from a single image
inferredcites →https://doi.org/10.1109/icip.2005.1529894openalex-snapshot
Super-resolution from highly undersampled images
inferredcites →https://doi.org/10.1109/tip.2009.2023703openalex-snapshot
Super-Resolution Without Explicit Subpixel Motion Estimation
inferredcites →https://doi.org/10.1109/tmm.2007.898937openalex-snapshot
Event Dynamics Based Temporal Registration
inferredcites →https://doi.org/10.1109/tpami.2002.1033210openalex-snapshot
Limits on super-resolution and how to break them
inferredcites →https://doi.org/10.1109/tpami.2002.1046148openalex-snapshot
Spatio-temporal alignment of sequences
inferredcites →https://doi.org/10.1109/tpami.2005.85openalex-snapshot
Space-time super-resolution
inferredcites →https://doi.org/10.1145/1141911.1141957openalex-snapshot
Coded exposure photography
inferredcites →https://doi.org/10.1145/1360612.1360670openalex-snapshot
Motion-invariant photography
inferredcites →https://doi.org/10.1145/1399504.1360670openalex-snapshot
Motion-invariant photography
inferredcites →https://doi.org/10.5555/313559.313768openalex-snapshot
Approximate nearest neighbor queries in fixed dimensions

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
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Video Temporal Super-resolution Based on Self-similarity
inferred← citeshttps://doi.org/10.1007/978-3-030-12209-6_10openalex-snapshot
Real-Time HDTV-to-8K TV Hardware Upconverter
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Across Scales and Across Dimensions: Temporal Super-Resolution Using Deep Internal Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-58607-2_41openalex-snapshot
Deep Space-Time Video Upsampling Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-88010-1_21openalex-snapshot
Self-Supervised Video Super-Resolution by Spatial Constraint and Temporal Fusion
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Combining Internal and External Constraints for Unrolling Shutter in Videos
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Learning Spatio-Temporal Downsampling for Effective Video Upscaling
inferred← citeshttps://doi.org/10.1007/978-3-031-19797-0_23openalex-snapshot
Towards Interpretable Video Super-Resolution via Alternating Optimization
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SuperSlicing Frame Restoration for Anisotropic ssTEM and Video Data
inferred← citeshttps://doi.org/10.1007/978-3-319-54187-7_13openalex-snapshot
Video Enhancement via Super-Resolution Using Deep Quality Transfer Network
inferred← citeshttps://doi.org/10.1007/978-3-319-69900-4_74openalex-snapshot
Space-Time Super-Resolution Using Deep Learning Based Framework
inferred← citeshttps://doi.org/10.1007/978-3-642-19315-6_8openalex-snapshot
Video Temporal Super-Resolution Based on Self-similarity
inferred← citeshttps://doi.org/10.1007/s00138-014-0623-4openalex-snapshot
Super-resolution: a comprehensive survey
inferred← citeshttps://doi.org/10.1007/s00162-023-00663-0openalex-snapshot
Super-resolution analysis via machine learning: a survey for fluid flows
inferred← citeshttps://doi.org/10.1007/s10462-022-10147-yopenalex-snapshot
Video super-resolution based on deep learning: a comprehensive survey
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Noise-robust video super-resolution using an adaptive spatial-temporal filter
inferred← citeshttps://doi.org/10.1007/s11042-016-3557-1openalex-snapshot
A novel super-resolution image and video reconstruction approach based on Newton-Thiele’s rational kernel in sparse principal component analysis
inferred← citeshttps://doi.org/10.1007/s11265-012-0725-zopenalex-snapshot
PSO-based Fusion Method for Video Super-Resolution
inferred← citeshttps://doi.org/10.1007/s11760-023-02675-zopenalex-snapshot
Multi-frame spatio-temporal super-resolution
inferred← citeshttps://doi.org/10.1007/s11760-024-03469-7openalex-snapshot
Space-time video super-resolution via multi-scale feature interpolation and temporal feature fusion
inferred← citeshttps://doi.org/10.1007/s43684-023-00051-9openalex-snapshot
Space-time video super-resolution using long-term temporal feature aggregation
inferred← citeshttps://doi.org/10.1016/b978-0-12-809703-8.00002-2openalex-snapshot
A Taxonomy of Example-Based Super Resolution
inferred← citeshttps://doi.org/10.1016/b978-0-12-809703-8.00009-5openalex-snapshot
Conclusions
inferred← citeshttps://doi.org/10.1016/b978-0-443-18428-4.00010-4openalex-snapshot
Trajectory super-resolution methods
inferred← citeshttps://doi.org/10.1016/j.aei.2025.103903openalex-snapshot
Deep internal learning-based video compressive sensing for the identification of high-frequency structural dynamic characteristics using full-field vision methods
inferred← citeshttps://doi.org/10.1016/j.image.2013.02.002openalex-snapshot
Patch-based spatio-temporal super-resolution for video with non-rigid motion
inferred← citeshttps://doi.org/10.1016/j.image.2014.10.007openalex-snapshot
Space–time super-resolution with patch group cuts prior
inferred← citeshttps://doi.org/10.1016/j.image.2018.07.002openalex-snapshot
Spatio-temporal super-resolution for multi-videos based on belief propagation
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.infrared.2015.01.021openalex-snapshot
Infrared micro-scanning error compensation algorithm based on edge location
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.107033openalex-snapshot
Enhancing space–time video super-resolution via spatial–temporal feature interaction
inferred← citeshttps://doi.org/10.1016/j.patcog.2018.01.002openalex-snapshot
Super-resolution for biometrics: A comprehensive survey
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.patrec.2017.10.021openalex-snapshot
“Blind” visual inference by composition
inferred← citeshttps://doi.org/10.1016/j.patrec.2019.01.019openalex-snapshot
Deep video-to-video transformations for accessibility with an application to photosensitivity
inferred← citeshttps://doi.org/10.1049/iet-ipr.2013.0412openalex-snapshot
Document image super‐resolution using structural similarity and Markov random field
inferred← citeshttps://doi.org/10.1049/iet-ipr.2014.0658openalex-snapshot
Super‐resolution reconstruction based on multisource bidirectional similarity and non‐local similarity matching
inferred← citeshttps://doi.org/10.1049/ipr2.12920openalex-snapshot
Cuboid-Net: A Multi-Branch Convolutional Neural Network for Joint Space-Time Video Super Resolution
inferred← citeshttps://doi.org/10.1109/access.2020.2972300openalex-snapshot
An Unsupervised Remote Sensing Single-Image Super-Resolution Method Based on Generative Adversarial Network
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/cimsivp.2013.6583845openalex-snapshot
Regularized high temporal resolution fish motion synthesis
inferred← citeshttps://doi.org/10.1109/cisp-bmei.2018.8633071openalex-snapshot
Robust Dual Images Super-Resolution
inferred← citeshttps://doi.org/10.1109/crv.2012.69openalex-snapshot
Evaluation of Local Spatio-temporal Salient Feature Detectors for Human Action Recognition
inferred← citeshttps://doi.org/10.1109/cvpr.2012.6247844openalex-snapshot
Video from nearly still: An application to low frame-rate gait recognition
inferred← citeshttps://doi.org/10.1109/cvpr.2013.42openalex-snapshot
Dense 3D Reconstruction from Severely Blurred Images Using a Single Moving Camera
inferred← citeshttps://doi.org/10.1109/cvpr.2016.207openalex-snapshot
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/cvpr.2017.304openalex-snapshot
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00343openalex-snapshot
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00354openalex-snapshot
Restore from Restored: Video Restoration with Pseudo Clean Video
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00632openalex-snapshot
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00209openalex-snapshot
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
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EDVR: Video Restoration With Enhanced Deformable Convolutional Networks
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Photosequencing of Motion Blur using Short and Long Exposures
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DEVSR: Dynamically Enhanced Video Super-Resolution
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Random coded sampling for high-speed HDR video
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Directional Super-Resolution by Means of Coded Sampling and Guided Upsampling
inferred← citeshttps://doi.org/10.1109/iccphot.2019.8747334openalex-snapshot
STORM: Super-resolving Transients by OveRsampled Measurements
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Complementary Sets of Shutter Sequences for Motion Deblurring
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Deep Blind Video Super-resolution
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Learning a Deep Convolutional Network for Light-Field Image Super-Resolution
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AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results
inferred← citeshttps://doi.org/10.1109/icdh.2014.24openalex-snapshot
A Novel Two-Step Approach for the Super-resolution Reconstruction of Video Sequences
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Facial video super resolution using semantic exemplar components
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Dense-Connected Residual Network for Video Super-Resolution
inferred← citeshttps://doi.org/10.1109/icsec53205.2021.9684616openalex-snapshot
Range Measurement by Computer Vision Systems Based on Invariant Moments
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Real-time video stabilization on an FPGA
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The relation between super resolution and aliasing and how to overcome its limitations
inferred← citeshttps://doi.org/10.1109/isspa.2012.6310553openalex-snapshot
Space-time super-resolution from multiple-videos
inferred← citeshttps://doi.org/10.1109/mcg.2021.3097555openalex-snapshot
STSRNet: Deep Joint Space–Time Super-Resolution for Vector Field Visualization
inferred← citeshttps://doi.org/10.1109/microrad.2018.8430695openalex-snapshot
Temporal Super-Resolution of Microwave Remote Sensing Images
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Video temporal super-resolution using nonlocal registration and self-similarity
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Learning for Unconstrained Space-Time Video Super-Resolution
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Cross-Frame Transformer-Based Spatio-Temporal Video Super-Resolution
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Convolutional Neural Network-Based Block Up-Sampling for HEVC
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3DAttGAN: A 3D Attention-Based Generative Adversarial Network for Joint Space-Time Video Super-Resolution
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Satellite Video Continuous Space–Time Super-Resolution via Mask-Based Temporal-Aware Warping and Cross-Level Frequency Integration
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Discriminability Limits in Spatio-Temporal Stereo Block Matching
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Blind Super Resolution of Real-Life Video Sequences
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Robust All-in-focus Super-Resolution for Focal Stack Photography
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Multi-Image Deblurring Using Complementary Sets of Fluttering Patterns
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Video Frame Interpolation and Enhancement via Pyramid Recurrent Framework
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Exploit Camera Raw Data for Video Super- Resolution via Hidden Markov Model Inference
inferred← citeshttps://doi.org/10.1109/tmm.2022.3181458openalex-snapshot
Bi-RSTU: Bidirectional Recurrent Upsampling Network for Space-Time Video Super-Resolution
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Global Spatial-Temporal Information-Based Residual ConvLSTM for Video Space-Time Super-Resolution
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STDAN: Deformable Attention Network for Space-Time Video Super-Resolution
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Coherency Sensitive Hashing
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Video Super-Resolution via Bidirectional Recurrent Convolutional Networks
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Unsupervised Intrinsic Image Decomposition Using Internal Self-Similarity Cues
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CycMuNet+: Cycle-Projected Mutual Learning for Spatial-Temporal Video Super-Resolution
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Video Snapshots: Creating High-Quality Images from Video Clips
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Limitations of super resolution image reconstruction for commercial products
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Dual-Stream Fusion Network for Spatiotemporal Video Super-Resolution
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MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution
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Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution
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Computational Plenoptic Imaging
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Combining coarse and fine registration for video frame super-resolution reconstruction
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Super-resolution reconstruction based on continued fractions interpolation kernel in the polar coordinates
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Zero shot prediction of video quality using intrinsic video statistics
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Spatio-temporal super-resolution implementation based on camera array
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Computational plenoptic imaging
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Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning
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You Only Align Once: Bidirectional Interaction for Spatial-Temporal Video Super-Resolution
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Spatiotemporal Super-Resolution Reconstruction Based on Robust Optical Flow and Zernike Moment for Video Sequences
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Deep learning based video-related super-resolution technique: a survey
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Subjective assessment of HDTV with superresolution function
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Super-resolution for simultaneous realization of resolution enhancement and motion blur removal based on adaptive prior settings
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Domain Knowledge as Motion-Aware Inductive Bias for Deep Video Synthesis: Two Case Studies
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Deep Internal Learning-Based Video Compressive Sensing for Spatiotemporal Super-Resolution in Vision-Based High-Frequency Shm
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Spatiotemporal Super-Resolution with Cross-Task Consistency and Its Semi-supervised Extension
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Video Multi-Scale-Based End-to-End Rate Control in Deep Contextual Video Compression
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Joint Video Super-Resolution and Frame Interpolation via Permutation Invariance
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EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
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Self-Supervised Adaptation for Video Super-Resolution
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Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution
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Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
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