Video deraining

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

21 shown of 21 papers with code (30 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Restormer: Efficient Transformer for High-Resolution Image Restoration
  18 Nov 2021 13 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Since convolutional neural networks (CNNs) perform well at learning generalizable image priors from large-scale data, these models have been extensively applied to image restoration and related tasks.
• Video-to-Video Synthesis
  20 Aug 2018 10 repositories listed
  We study the problem of video-to-video synthesis, whose goal is to learn a mapping function from an input source video (e.
• BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
  3 Dec 2020 6 repositories listed
  Video super-resolution (VSR) approaches tend to have more components than the image counterparts as they need to exploit the additional temporal dimension.
• Recurrent Video Restoration Transformer with Guided Deformable Attention
  5 Jun 2022 4 repositories listed Syntology ran 7 of 14 samples · 7 unverified · 5 pointer-only (licence)
  Specifically, RVRT divides the video into multiple clips and uses the previously inferred clip feature to estimate the subsequent clip feature.
• BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
  27 Apr 2021 3 repositories listed
  We show that by empowering the recurrent framework with the enhanced propagation and alignment, one can exploit spatiotemporal information across misaligned video frames more effectively.
• Learning Truncated Causal History Model for Video Restoration
  4 Oct 2024 1 repository listed Syntology ran 7 of 12 samples · 5 unverified
  In this work, we propose TURTLE to learn the truncated causal history model for efficient and high-performing video restoration.
• RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
  31 Jul 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  Recently, the linear-complexity operator of the state space models (SSMs) has contrarily facilitated efficient long-term temporal modeling, which is crucial for rain streaks and raindrops removal in videos.
• EGVD: Event-Guided Video Deraining
  29 Sep 2023 1 repository listed
  In this paper, we approach video deraining by employing an event camera.
• A Two-Stage Real Image Deraining Method for GT-RAIN Challenge CVPR 2023 Workshop UG²+ Track 3
  13 May 2023 1 repository listed
  Secondly, a transformer-based single image deraining network Uformer is implemented to pre-train on large real rain dataset and then fine-tuned on pseudo GT to further improve image restoration.
• Event-Aware Video Deraining via Multi-Patch Progressive Learning
  10 May 2023 1 repository listed
  In addition, we develop a multi-patch progressive neural network.
• Video Waterdrop Removal via Spatio-Temporal Fusion in Driving Scenes
  12 Feb 2023 1 repository listed
  The waterdrops on windshields during driving can cause severe visual obstructions, which may lead to car accidents.
• Unsupervised Video Deraining with An Event Camera
  1 Jan 2023 1 repository listed
  Current unsupervised video deraining methods are inefficient in modeling the intricate spatio-temporal properties of rain, which leads to unsatisfactory results.
• Learning Trajectory-Aware Transformer for Video Super-Resolution
  8 Apr 2022 1 repository listed Syntology ran 1 of 7 samples · 6 unverified
  Existing approaches usually align and aggregate video frames from limited adjacent frames (e.
• Uncertainty-Aware Cascaded Dilation Filtering for High-Efficiency Deraining
  7 Jan 2022 1 repository listed
  First, we propose the uncertainty-aware cascaded predictive filtering (UC-PFilt) that can identify the difficulties of reconstructing clean pixels via predicted kernels and remove the residual rain traces effectively.
• Self-Aligned Video Deraining With Transmission-Depth Consistency
  19 Jun 2021 1 repository listed
  In this paper, we address the problems of rain streaks and rain accumulation removal in video, by developing a self-aligned network with transmission-depth consistency.
• Removing Raindrops and Rain Streaks in One Go
  19 Jun 2021 1 repository listed
  First, we propose a complementary cascaded network architecture, namely CCN, to remove rain streaks and raindrops in a unified framework.
• Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Framework
  23 Mar 2021 1 repository listed
  Video deraining is an important task in computer vision as the unwanted rain hampers the visibility of videos and deteriorates the robustness of most outdoor vision systems.
• Semi-Supervised Video Deraining with Dynamical Rain Generator
  14 Mar 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Firstly, most of them do not sufficiently model the characteristics of rain layers of rainy videos.
• MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution
  9 Nov 2020 1 repository listed
  Lightweight super resolution networks have extremely importance for real-world applications.
• Frame-Consistent Recurrent Video Deraining With Dual-Level Flow
  1 Jun 2019 1 repository listed
  The proposed framework is built upon a two-stage recurrent network with dual-level flow regularizations to perform the inverse recovery process of the rain synthesis model for video deraining.
• Directional Regularized Tensor Modeling for Video Rain Streaks Removal
  19 Feb 2019 1 repository listed
  Outdoor videos sometimes contain unexpected rain streaks due to the rainy weather, which bring negative effects on subsequent computer vision applications, e.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.