A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.
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Updated
Apr 30, 2024
A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.
VRT: A Video Restoration Transformer (official repository)
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020
Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)
Official implementation of "MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video" (TPAMI'19).
Implementation of "Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement" (AAAI'20).
[CVPR'22 Oral] TTVSR: Learning Trajectory-Aware Transformer for Video Super-Resolution
[ECCV'22] FTVSR: Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution
Official repository for the paper titled "Bitstream-corrupted Video Recovery: A Novel Benchmark Dataset and Method", accepted by NeurIPS 2023 Dataset and Benchmark Track
An end-to-end video restoration project with open-source pretrained deep learning models
[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur
Upscale any number of videos using this colab notebook!
Method and experience of winning the NTIRE'22 VQE challenge.
Empower the quality enhancement approaches for compressed images/videos.
Pytorch implementation of the paper "MdVRNet: Deep Video Restoration under Multiple Distortions" (VISAPP 2022)
[ACM MM 2022 - Demo] Restoration of Analog Videos Using Swin-UNet
Video restoration Processing Pipeline
This is a summary of research on All-In-One Image/Video Restoration. There may be omissions. If anything is missing please get in touch with us. Our emails: [email protected]; [email protected]; [email protected]; [email protected]
[ICCV 2023] Snow Removal in Video: A New Dataset and A Novel Method
Empower the quality enhancement approaches for compressed videos.
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