VRT: A Video Restoration Transformer (official repository)
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Updated
Jun 18, 2023 - Python
VRT: A Video Restoration Transformer (official repository)
[ICML 2024] EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020
Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)
[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur
[CVPR'22 Oral] TTVSR: Learning Trajectory-Aware Transformer for Video Super-Resolution
[IJCAI'24] Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer
[ECCV'22] FTVSR: Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution
[ACM MM'24 Oral] RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
[ICCV 2023] Snow Removal in Video: A New Dataset and A Novel Method
Official Code for 'Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction' - ACM Multimedia2021 (ACMMM2021) Accepted Paper Task: Video Quality Enhancement / Video Compression Artifact Reduction
[WACV 2024] - Reference-based Restoration of Digitized Analog Videotapes
Official repository for the paper titled "Bitstream-corrupted Video Recovery: A Novel Benchmark Dataset and Method", accepted by NeurIPS 2023 Dataset and Benchmark Track
[CVPR 2025] Efficient Video Face Enhancement with Enhanced Spatial-Temporal Consistency
[ACM MM 2022 - Demo] Restoration of Analog Videos Using Swin-UNet
Video restoration Processing Pipeline
[IEEE TMM 2023] This is the official repo of the paper "Perceptual Quality Improvement in Videoconferencing using Keyframes-based GAN".
[VISAPP 2022] MdVRNet: Deep Video Restoration under Multiple Distortions
FedVSR: Towards Model-Agnostic Federated Learning in Video Super-Resolution (Under Review)
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