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A Decoupled Kernel Prediction Network Guided by Soft Mask for Single Image HDR Reconstruction
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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/s00371-007-0124-9openalex-snapshot
A framework for inverse tone mapping
inferredcites →https://doi.org/10.1007/s00371-013-0875-4openalex-snapshot
Physiological inverse tone mapping based on retina response
inferredcites →https://doi.org/10.1007/s11263-021-01535-yopenalex-snapshot
Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging
inferredcites →https://doi.org/10.1016/j.neucom.2021.08.057openalex-snapshot
A brightness-adaptive kernel prediction network for inverse tone mapping
inferredcites →https://doi.org/10.1016/j.patcog.2021.108342openalex-snapshot
High dynamic range imaging via gradient-aware context aggregation network
inferredcites →https://doi.org/10.1109/acssc.2003.1292216openalex-snapshot
Multiscale structural similarity for image quality assessment
inferredcites →https://doi.org/10.1109/cvpr.2004openalex-snapshot
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.
inferredcites →https://doi.org/10.1109/sibgrapi.2014.29openalex-snapshot
High-Quality Reverse Tone Mapping for a Wide Range of Exposures
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/tip.2020.2971346openalex-snapshot
Deep HDR Imaging via A Non-Local Network
inferredcites →https://doi.org/10.1109/tvcg.2005.9openalex-snapshot
Dynamic Range Reduction Inspired by Photoreceptor Physiology
inferredcites →https://doi.org/10.1111/cgf.13340openalex-snapshot
ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content
inferredcites →https://doi.org/10.1111/j.1467-8659.2009.01541.xopenalex-snapshot
High Dynamic Range Imaging and Low Dynamic Range Expansion for Generating HDR Content
inferredcites →https://doi.org/10.1145/258734.258884openalex-snapshot
Recovering high dynamic range radiance maps from photographs
inferredcites →https://doi.org/10.1145/3072959.3073708openalex-snapshot
Kernel-predicting convolutional networks for denoising Monte Carlo renderings
inferredcites →https://doi.org/10.1145/3130800.3130816openalex-snapshot
HDR image reconstruction from a single exposure using deep CNNs
inferredcites →https://doi.org/10.1145/3199514openalex-snapshot
Over- and Under-Exposure Reconstruction of a Single Plenoptic Capture
inferredcites →https://doi.org/10.1145/3386569.3392403openalex-snapshot
Single image HDR reconstruction using a CNN with masked features and perceptual loss
inferredcites →https://doi.org/10.1145/3398685openalex-snapshot
Kernel Attention Network for Single Image Super-Resolution
inferredcites →https://doi.org/10.1145/3414839openalex-snapshot
Exploring Image Enhancement for Salient Object Detection in Low Light Images
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.cag.2024.01.009openalex-snapshot
DEUNet: Dual-encoder UNet for simultaneous denoising and reconstruction of single HDR image
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128988openalex-snapshot
Recurrent event-guided multimodal fusion for high dynamic range video reconstruction
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114118openalex-snapshot
Playing to spot the difference: Enhancing HDR imaging with dual-task synergy and multi-perspective consensus learning
inferred← citeshttps://doi.org/10.1109/access.2024.3386096openalex-snapshot
High Dynamic Range Imaging via Visual Attention Modules
inferred← citeshttps://doi.org/10.1109/apsipaasc58517.2023.10317568openalex-snapshot
ArtHDR-Net: Perceptually Realistic and Accurate HDR Content Creation
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01338openalex-snapshot
Learning Event Guided High Dynamic Range Video Reconstruction
inferred← citeshttps://doi.org/10.1109/icip61757.2026.11630092openalex-snapshot
Itplut: Inverse Tone Mapping Based on Lookup Tables with Luma and Chroma Mapping
inferred← citeshttps://doi.org/10.1109/tce.2023.3329574openalex-snapshot
Mixing and Matching Elements for Intelligent Fashion Design: A Generative Adversarial Network With Structure and Texture Disentanglement
inferred← citeshttps://doi.org/10.1109/tce.2025.3573094openalex-snapshot
Video Inverse Tone Mapping Network With GlobalColor Mapping and Multi-Frame Interaction
inferred← citeshttps://doi.org/10.1109/wacv61041.2025.00765openalex-snapshot
GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstruction
inferred← citeshttps://doi.org/10.1145/3579167openalex-snapshot
Dual-Lens HDR using Guided 3D Exposure CNN and Guided Denoising Transformer
inferred← citeshttps://doi.org/10.1145/3581783.3612199openalex-snapshot
Video Inverse Tone Mapping Network with Luma and Chroma Mapping
inferred← citeshttps://doi.org/10.1145/3763240openalex-snapshot
EIN: Exposure-Induced Network for Single-Image HDR Reconstruction
inferred← citeshttps://doi.org/10.1609/aaai.v38i4.28144openalex-snapshot
Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera
inferred← citeshttps://doi.org/10.2139/ssrn.7006272openalex-snapshot
A Cycle Ride to HDR: Semantics Aware Self-Supervised Frame- work for Unpaired LDR-to-HDR Image Reconstruction
inferred← citeshttps://doi.org/10.3390/app142311289openalex-snapshot
RLUNet: Overexposure-Content-Recovery-Based Single HDR Image Reconstruction with the Imaging Pipeline Principle
inferred← citeshttps://doi.org/10.3390/app15105339openalex-snapshot
A Review Toward Deep Learning for High Dynamic Range Reconstruction
inferred← citeshttps://doi.org/10.3390/s23125370openalex-snapshot
Exploiting Light Polarization for Deep HDR Imaging from a Single Exposure
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