mlsanityData to 14 Oct 2026

Deep Learning for HDR Imaging: State-of-the-Art and Future Trends

arXiv 2110.10394 ↗First posted 20 Oct 2021eess.IV cs.CV cs.LGcited by 45

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Abstract (arXiv)

High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range of exposures, which is important in image processing, computer graphics, and computer vision. In recent years, there has been a significant advancement in HDR imaging using deep learning (DL). This study conducts a comprehensive and insightful survey and analysis of recent developments in deep HDR imaging methodologies. We hierarchically and structurally group existing deep HDR imaging methods into five categories based on (1) number/domain of input exposures, (2) number of learning tasks, (3) novel sensor data, (4) novel learning strategies, and (5) applications. Importantly, we provide a constructive discussion on each category regarding its potential and challenges. Moreover, we review some crucial aspects of deep HDR imaging, such as datasets and evaluation metrics. Finally, we highlight some open problems and point out future research directions.

Key facts. Cited by 45 papers in the map (data through 14 Oct 2026). Builds on 88 of its 201 references that are in the map. First posted on arXiv 20 Oct 2021.

Builds on

88 of 201 references.

References · 88

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50 most cited of 88 All 88 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 10; 2023: 14; 2024: 12; 2025: 7; 2026: 2.

45 papers.

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  1. 2023Generative Diffusion Prior for Unified Image Restoration and Enhancementcited by 199
  2. 2023Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarkscited by 90
  3. 2023Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancementcited by 86
  4. 2022Multi-Bracket High Dynamic Range Imaging with Event Camerascited by 37
  5. 2023RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Imagecited by 32
  6. 2022Text2Light: Zero-Shot Text-Driven HDR Panorama Generationcited by 24
  7. 2022GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wildcited by 21
  8. 2023Raw Image Reconstruction with Learned Compact Metadatacited by 18
  9. 2024Microsaccade-inspired Event Camera for Roboticscited by 17
  10. 2024Bracket Diffusion: HDR Image Generation by Consistent LDR Denoisingcited by 15
  11. 2022Infrared Image Super-Resolution: Systematic Review, and Future Trendscited by 11
  12. 2023Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Modelscited by 11
33 more
  1. 2023Searching a Compact Architecture for Robust Multi-Exposure Image Fusioncited by 11
  2. 2023Beyond Learned Metadata-based Raw Image Reconstructioncited by 9
  3. 2023Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenescited by 9
  4. 2024Temporal-Mapping Photography for Event Camerascited by 9
  5. 2023Unsupervised HDR Image and Video Tone Mapping via Contrastive Learningcited by 6
  6. 2022HDR Reconstruction from Bracketed Exposures and Eventscited by 4
  7. 2023ArtHDR-Net: Perceptually Realistic and Accurate HDR Content Creationcited by 4
  8. 2024GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstructioncited by 4
  9. 2024Fusion from Decomposition: A Self-Supervised Approach for Image Fusion and Beyondcited by 4
  10. 2025Creating and Evaluating Personas Using Generative AI: A Scoping Review of 81 Articlescited by 4
  11. 2022Self-supervised HDR Imaging from Motion and Exposure Cuescited by 3
  12. 2022Priors in Deep Image Restoration and Enhancement: A Surveycited by 3
  13. 2023Robust estimation of exposure ratios in multi-exposure image stackscited by 3
  14. 2024HistoHDR-Net: Histogram Equalization for Single LDR to HDR Image Translationcited by 3
  15. 2024HDR Imaging for Dynamic Scenes with Eventscited by 3
  16. 2024Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Priorcited by 3
  17. 2025Capturing Stable HDR Videos Using a Dual-Camera Systemcited by 3
  18. 2023ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancementcited by 2
  19. 2024Improving Bracket Image Restoration and Enhancement with Flow-guided Alignment and Enhanced Feature Aggregationcited by 2
  20. 2024Beyond Feature Mapping GAP: Integrating Real HDRTV Priors for Superior SDRTV-to-HDRTV Conversioncited by 2
  21. 2025Boosting HDR Image Reconstruction via Semantic Knowledge Transfercited by 2
  22. 2025High Dynamic Range Novel View Synthesis with Single Exposurecited by 2
  23. 2022Video frame interpolation for high dynamic range sequences captured with dual-exposure sensorscited by 1
  24. 2024Deep chroma compression of tone-mapped imagescited by 1
  25. 2025GMODiff: One-Step Gain Map Refinement with Diffusion Priors for HDR Reconstructioncited by 1
  26. 2022MEStereo-Du2CNN: A Novel Dual Channel CNN for Learning Robust Depth Estimates from Multi-exposure Stereo Images for HDR 3D Applicationscited by 0
  27. 2022A High Resolution Multi-exposure Stereoscopic Image & Video Database of Natural Scenescited by 0
  28. 2023High Dynamic Range Imaging via Visual Attention Modulescited by 0
  29. 2024A Cycle Ride to HDR: Semantics Aware Self-Supervised Framework for Unpaired LDR-to-HDR Image Reconstructioncited by 0
  30. 2025PhysHDR: When Lighting Meets Materials and Scene Geometry in HDR Reconstructioncited by 0
  31. 2025Real-time prediction of workplane illuminance distribution for daylight-linked controls using non-intrusive multimodal deep learningcited by 0
  32. 2026Deep Lightweight Unrolled Network for High Dynamic Range Modulo Imagingcited by 0
  33. 2026Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detectioncited by 0