mlsanityData to 7 Oct 2026

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

arXiv 2303.09757 ↗First posted 17 Mar 2023cs.CVcited by 22

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Abstract (arXiv)

Video dehazing aims to recover haze-free frames with high visibility and contrast. This paper presents a novel framework to effectively explore the physical haze priors and aggregate temporal information. Specifically, we design a memory-based physical prior guidance module to encode the prior-related features into long-range memory. Besides, we formulate a multi-range scene radiance recovery module to capture space-time dependencies in multiple space-time ranges, which helps to effectively aggregate temporal information from adjacent frames. Moreover, we construct the first large-scale outdoor video dehazing benchmark dataset, which contains videos in various real-world scenarios. Experimental results on both synthetic and real conditions show the superiority of our proposed method.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). Builds on 42 of its 62 references that are in the map. First posted on arXiv 17 Mar 2023.

Builds on

42 of 62 references.

References · 42

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  12. 2017Benchmarking Single Image Dehazing and Beyondcited by 445
30 more
  1. 20193D Packing for Self-Supervised Monocular Depth Estimationcited by 437
  2. 2019Video Object Segmentation using Space-Time Memory Networkscited by 436
  3. 2016Optical Flow Estimation using a Spatial Pyramid Networkcited by 421
  4. 2017Semantic Foggy Scene Understanding with Synthetic Datacited by 401
  5. 2021BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignmentcited by 340
  6. 2016DehazeNet: An End-to-End System for Single Image Haze Removalcited by 313
  7. 2019FFA-Net: Feature Fusion Attention Network for Single Image Dehazingcited by 307
  8. 2020BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyondcited by 303
  9. 2022Vision Transformer with Deformable Attentioncited by 293
  10. 2020Detection and Tracking Meet Drones Challengecited by 261
  11. 2022Vision Transformers for Single Image Dehazingcited by 255
  12. 2018Learning Blind Video Temporal Consistencycited by 247
  13. 2020Multi-Scale Boosted Dehazing Network with Dense Feature Fusioncited by 229
  14. 2019GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazingcited by 227
  15. 2018TDAN: Temporally Deformable Alignment Network for Video Super-Resolutioncited by 225
  16. 2021Contrastive Learning for Compact Single Image Dehazingcited by 219
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  18. 2022Recurrent Video Restoration Transformer with Guided Deformable Attentioncited by 168
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  22. 2021Video Super-Resolution Transformercited by 120
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  26. 2018Gated Context Aggregation Network for Image Dehazing and Derainingcited by 89
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 10; 2025: 8; 2026: 1.

22 papers.

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  1. 2024Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazingcited by 32
  2. 2023ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Renderingcited by 28
  3. 2024CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generationcited by 21
  4. 2023VIDiff: Translating Videos via Multi-Modal Instructions with Diffusion Modelscited by 19
  5. 2024UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancementcited by 17
  6. 2025Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesiscited by 13
  7. 2024Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removalcited by 12
  8. 2025MoA-VR: A Mixture-of-Agents System Towards All-in-One Video Restorationcited by 12
  9. 2024Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularizationcited by 11
  10. 2024Self-Supervised Video Desmoking for Laparoscopic Surgerycited by 10
  11. 2024Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Modelscited by 10
  12. 2024Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistancecited by 8
10 more
  1. 2024Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Videocited by 8
  2. 2024End-To-End Underwater Video Enhancement: Dataset and Modelcited by 5
  3. 2023Cross-Consistent Deep Unfolding Network for Adaptive All-In-One Video Restorationcited by 4
  4. 2025Real-World Adverse Weather Image Restoration via Dual-Level Reinforcement Learning with High-Quality Cold Startcited by 2
  5. 2025Implicit Neural Representation for Video Restorationcited by 1
  6. 2025Unsupervised Methods for Video Quality Improvement: A Survey of Restoration and Enhancement Techniquescited by 1
  7. 2025Clear Roads, Clear Vision: Advancements in Multi-Weather Restoration for Smart Transportationcited by 1
  8. 2026LiBrA-Net: Lie-Algebraic Bilateral Affine Fields for Real-Time 4K Video Dehazingcited by 1
  9. 2025Implicit Neural Representation for Video and Image Super-Resolutioncited by 0
  10. 2025Rethinking Surgical Smoke: A Smoke-Type-Aware Laparoscopic Video Desmoking Method and Datasetcited by 0