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)

[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur

[CVPR'22 Oral] TTVSR: Learning Trajectory-Aware Transformer for Video Super-Resolution

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).

[ECCV'22] FTVSR: Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution

Method and experience of winning the NTIRE'22 VQE challenge.

Rankings include: ABME AdaFNIO ALANET AMT BiT BVFI CDFI CtxSyn DBVI DeMFI DQBC DRVI EAFI EBME EDC EDENVFI EDSC EMA-VFI FGDCN FILM FLAVR H-VFI IFRNet JNMR LADDER M2M MA-GCSPA NCM PerVFI PRF ProBoost-Net RIFE RN-VFI SoftSplat SSR ST-MFNet TDPNet TTVFI UGFI UPR-Net UTI-VFI VFIformer VFIT VIDUE VRT

An end-to-end video restoration project with open-source pretrained deep learning models

[ICCV 2023] Snow Removal in Video: A New Dataset and A Novel Method

Empower the quality enhancement approaches for compressed videos.

[WACV 2024] - Reference-based Restoration of Digitized Analog Videotapes

[ACM MM 2022 - Demo] Restoration of Analog Videos Using Swin-UNet

Official repository for the paper titled "Bitstream-corrupted Video Recovery: A Novel Benchmark Dataset and Method", accepted by NeurIPS 2023 Dataset and Benchmark Track

Upscale any number of videos using this colab notebook!

Video restoration Processing Pipeline

Video restoration based on deep learning: a comprehensive survey