Video deraining
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Benchmarks
VRDS
Most implemented
Restormer: Efficient Transformer for High-Resolution Image Restoration
Video-to-Video Synthesis
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
Recurrent Video Restoration Transformer with Guided Deformable Attention
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
Learning Truncated Causal History Model for Video Restoration
Papers
UENR-600K: A Large-Scale Physically Grounded Dataset for Nighttime Video Deraining
Nighttime video deraining is uniquely challenging because raindrops interact with artificial lighting. Unlike daytime white rain, nighttime rain takes on various colors and appears locally illuminated. Existing small-sca…
Video GenerationVideo derainingZero-Shot Video Deraining with Video Diffusion Models
Existing video deraining methods are often trained on paired datasets, either synthetic, which limits their ability to generalize to real-world rain, or captured by static cameras, which restricts their effectiveness in …
Video derainingDeLiVR: Differential Spatiotemporal Lie Bias for Efficient Video Deraining
Videos captured in the wild often suffer from rain streaks, blur, and noise. In addition, even slight changes in camera pose can amplify cross-frame mismatches and temporal artifacts. Existing methods rely on optical flo…
Video derainingSemi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining
Significant progress has been made in video restoration under rainy conditions over the past decade, largely propelled by advancements in deep learning. Nevertheless, existing methods that depend on paired data struggle …
object-detectionObject DetectionRain RemovalVideo deraining+1SpikeDerain: Unveiling Clear Videos from Rainy Sequences Using Color Spike Streams
Restoring clear frames from rainy videos presents a significant challenge due to the rapid motion of rain streaks. Traditional frame-based visual sensors, which capture scene content synchronously, struggle to capture th…
Rain RemovalVideo derainingLearning Truncated Causal History Model for Video Restoration
One key challenge to video restoration is to model the transition dynamics of video frames governed by motion. In this work, we propose TURTLE to learn the truncated causal history model for efficient and high-performing…
DeblurringDenoisingmodelRaindrop Removal+8