mlsanityData to 14 Oct 2026

NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results

arXiv 2504.12711 ↗First posted 17 Apr 2025cs.CV cs.AI eess.IVcited by 22

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Abstract (arXiv)

This paper reviews the NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images. This challenge received a wide range of impressive solutions, which are developed and evaluated using our collected real-world Raindrop Clarity dataset. Unlike existing deraining datasets, our Raindrop Clarity dataset is more diverse and challenging in degradation types and contents, which includes day raindrop-focused, day background-focused, night raindrop-focused, and night background-focused degradations. This dataset is divided into three subsets for competition: 14,139 images for training, 240 images for validation, and 731 images for testing. The primary objective of this challenge is to establish a new and powerful benchmark for the task of removing raindrops under varying lighting and focus conditions. There are a total of 361 participants in the competition, and 32 teams submitting valid solutions and fact sheets for the final testing phase. These submissions achieved state-of-the-art (SOTA) performance on the Raindrop Clarity dataset. The project can be found at https://lixinustc.github.io/CVPR-NTIRE2025-RainDrop-Competition.github.io/.

Key facts. Cited by 22 papers in the map (data through 14 Oct 2026). Builds on 78 of its 123 references that are in the map. First posted on arXiv 17 Apr 2025.

Builds on

78 of 123 references.

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Citing papers per year: 2025: 15; 2026: 7.

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  1. 2025NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Resultscited by 14
  2. 2026NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Resultscited by 14
  3. 2025NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Resultscited by 12
  4. 2025NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Resultscited by 12
  5. 2025NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Resultscited by 10
  6. 2025NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolutioncited by 9
  7. 2025NTIRE 2025 challenge on Text to Image Generation Model Quality Assessmentcited by 8
  8. 2026Learning Domain-Aware Task Prompt Representations for Multi-Domain All-in-One Image Restorationcited by 7
  9. 2025Towards Scale-Aware Low-Light Enhancement via Structure-Guided Transformer Designcited by 5
  10. 2025NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challengecited by 5
  11. 2026LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Resultscited by 5
  12. 2025RAW Image Reconstruction from RGB on Smartphones. NTIRE 2025 Challenge Reportcited by 4
10 more
  1. 2025OmniRaindrop: A Comprehensive Benchmark for Dual-Focused Raindrop Removal under Day and Night Scenescited by 4
  2. 2025FAPE-IR: Frequency-Aware Planning and Execution Framework for All-in-One Image Restorationcited by 4
  3. 2025NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfacescited by 3
  4. 2026LoViF 2026 The First Challenge on Weather Removal in Videoscited by 3
  5. 2026Unpaired Image Deraining Using Reward-Guided Self-Reinforcement Strategycited by 2
  6. 2025NTIRE 2025 Image Shadow Removal Challenge Reportcited by 1
  7. 2025NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Resultscited by 1
  8. 2026The Second LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Resultscited by 1
  9. 2025Traffic Image Restoration under Adverse Weather via Frequency-Aware Mambacited by 0
  10. 2026LoViF 2026 The First Challenge on Unified Removal of Raindrops and Reflections: Methods and Resultscited by 0