mlsanityData to 7 Oct 2026

Deep Dense Multi-scale Network for Snow Removal Using Semantic and Geometric Priors

arXiv 2103.11298 ↗First posted 21 Mar 2021cs.CVcited by 82

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Abstract (arXiv)

Images captured in snowy days suffer from noticeable degradation of scene visibility, which degenerates the performance of current vision-based intelligent systems. Removing snow from images thus is an important topic in computer vision. In this paper, we propose a Deep Dense Multi-Scale Network (DDMSNet) for snow removal by exploiting semantic and geometric priors. As images captured in outdoor often share similar scenes and their visibility varies with depth from camera, such semantic and geometric information provides a strong prior for snowy image restoration. We incorporate the semantic and geometric maps as input and learn the semantic-aware and geometry-aware representation to remove snow. In particular, we first create a coarse network to remove snow from the input images. Then, the coarsely desnowed images are fed into another network to obtain the semantic and geometric labels. Finally, we design a DDMSNet to learn semantic-aware and geometry-aware representation via a self-attention mechanism to produce the final clean images. Experiments evaluated on public synthetic and real-world snowy images verify the superiority of the proposed method, offering better results both quantitatively and qualitatively.

Key facts. Cited by 82 papers in the map (data through 7 Oct 2026). Builds on 27 of its 69 references that are in the map. First posted on arXiv 21 Mar 2021.

Builds on

27 of 69 references.

References · 27

  1. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  2. 2016Densely Connected Convolutional Networkscited by 6,691
  3. 2016The Cityscapes Dataset for Semantic Urban Scene Understandingcited by 4,427
  4. 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,678
  5. 2016Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Networkcited by 1,898
  6. 2018ESRGAN: Enhanced Super-Resolution Generative Adversarial Networkscited by 1,250
  7. 2016Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurringcited by 722
  8. 2016Deep Joint Rain Detection and Removal from a Single Imagecited by 351
  9. 2016DehazeNet: An End-to-End System for Single Image Haze Removalcited by 313
  10. 2018Density-aware Single Image De-raining using a Multi-stream Dense Networkcited by 248
  11. 2019Enforcing geometric constraints of virtual normal for depth predictioncited by 233
  12. 2018Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Derainingcited by 205
15 more
  1. 2017Attentive Generative Adversarial Network for Raindrop Removal from a Single Imagecited by 204
  2. 2017DesnowNet: Context-Aware Deep Network for Snow Removalcited by 200
  3. 2017Image De-raining Using a Conditional Generative Adversarial Networkcited by 197
  4. 2019Spatial Attentive Single-Image Deraining with a High Quality Real Rain Datasetcited by 192
  5. 2020Deblurring by Realistic Blurringcited by 187
  6. 2020Hierarchical Multi-Scale Attention for Semantic Segmentationcited by 183
  7. 2019Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learningcited by 157
  8. 2018Densely Connected Pyramid Dehazing Networkcited by 145
  9. 2016Clearing the Skies: A deep network architecture for single-image rain removalcited by 136
  10. 2019Single Image Deraining: A Comprehensive Benchmark Analysiscited by 84
  11. 2018Adversarial Spatio-Temporal Learning for Video Deblurringcited by 60
  12. 2017Residual Conv-Deconv Grid Network for Semantic Segmentationcited by 57
  13. 2021ARVo: Learning All-Range Volumetric Correspondence for Video Deblurringcited by 54
  14. 2021Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop Removalcited by 24
  15. 2018Semantic Single-Image Dehazingcited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 6; 2023: 16; 2024: 26; 2025: 22; 2026: 11.

82 papers.

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  1. 2021TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditionscited by 243
  2. 2022Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Modelscited by 215
  3. 2024OneRestore: A Universal Restoration Framework for Composite Degradationcited by 91
  4. 2023MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazingcited by 81
  5. 2024Restoring Images in Adverse Weather Conditions via Histogram Transformercited by 73
  6. 2023GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditionscited by 62
  7. 2024Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Taskscited by 47
  8. 2022MSP-Former: Multi-Scale Projection Transformer for Single Image Desnowingcited by 39
  9. 2025MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image Restorationcited by 36
  10. 2023UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Frameworkcited by 29
  11. 2025Visual-Instructed Degradation Diffusion for All-in-One Image Restorationcited by 26
  12. 2024Learning A Physical-aware Diffusion Model Based on Transformer for Underwater Image Enhancementcited by 24
38 more
  1. 2024Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraintcited by 24
  2. 2024MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformerscited by 24
  3. 2023Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagationcited by 21
  4. 2024Low-light Image Enhancement via CLIP-Fourier Guided Wavelet Diffusioncited by 19
  5. 2024AWRaCLe: All-Weather Image Restoration using Visual In-Context Learningcited by 18
  6. 2024LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restorationcited by 18
  7. 2025RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restorationcited by 15
  8. 2023Counting Crowds in Bad Weathercited by 14
  9. 2024PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removalcited by 14
  10. 2024Sharing Key Semantics in Transformer Makes Efficient Image Restorationcited by 14
  11. 2022Snow Mask Guided Adaptive Residual Network for Image Snow Removalcited by 13
  12. 2022SnowFormer: Context Interaction Transformer with Scale-awareness for Single Image Desnowingcited by 13
  13. 2024All-in-one Weather-degraded Image Restoration via Adaptive Degradation-aware Self-prompting Modelcited by 13
  14. 2024GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restorationcited by 13
  15. 2023Exploring the Application of Large-scale Pre-trained Models on Adverse Weather Removalcited by 12
  16. 2024Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removalcited by 12
  17. 2023Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather Removalcited by 11
  18. 2024Multi-weather Cross-view Geo-localization Using Denoising Diffusion Modelscited by 11
  19. 2024Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularizationcited by 11
  20. 2024CFMW: Cross-modality Fusion Mamba for Robust Object Detection under Adverse Weathercited by 8
  21. 2025Gradient as Conditions: Rethinking HOG for All-in-one Image Restorationcited by 8
  22. 2022CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather with a High-quality Real Snow Datasetcited by 7
  23. 2024Re-boosting Self-Collaboration Parallel Prompt GAN for Unsupervised Image Restorationcited by 7
  24. 2025Visual and Textual Prompts in VLLMs for Enhancing Emotion Recognitioncited by 7
  25. 2022LMQFormer: A Laplace-Prior-Guided Mask Query Transformer for Lightweight Snow Removalcited by 6
  26. 2023Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditionscited by 6
  27. 2025MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recoverycited by 6
  28. 2025M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restorationcited by 6
  29. 2023Restoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One Gocited by 4
  30. 2023Robust Physics-based Deep MRI Reconstruction Via Diffusion Purificationcited by 4
  31. 2023Learning Real-World Image De-Weathering with Imperfect Supervisioncited by 4
  32. 2025Prompt to Restore, Restore to Prompt: Cyclic Prompting for Universal Adverse Weather Removalcited by 4
  33. 2024Key-Graph Transformer for Image Restorationcited by 3
  34. 2024Benchmarking the Robustness of Panoptic Segmentation for Automated Drivingcited by 3
  35. 2024Adaptive Blind All-in-One Image Restorationcited by 3
  36. 2025DPMambaIR: All-in-One Image Restoration via Degradation-Aware Prompt State Space Modelcited by 3
  37. 2025Robust Adverse Weather Removal via Spectral-based Spatial Groupingcited by 3
  38. 2023Towards an Effective and Efficient Transformer for Rain-by-snow Weather Removalcited by 2

50 most cited of 82 All 82 (JSON)