A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.
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
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: liboyun.gm@gmail.com; gouyuanbiao@gmail.com; haiyuzhao.gm@gmail.com; wangwenxin.gm@gmail.com
Rankings include: ABME AdaFNIO ALANET AMT BiT BVFI CDFI CtxSyn DBVI DeMFI DQBC DRVI EAFI EBME EDC EDENVFI EDSC EMA-VFI FGDCN FILM FLAVR HiFI H-VFI IFRNet IQ-VFI JNMR LADDER M2M MA-GCSPA NCM PerVFI PRF ProBoost-Net RIFE RN-VFI SoftSplat SSR ST-MFNet Swin-VFI TDPNet TTVFI UGFI UPR-Net UTI-VFI VFIformer VFIFT VFIMamba 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
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
[ACM MM'24 Oral] RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
[WACV 2024] - Reference-based Restoration of Digitized Analog Videotapes
[ACM MM 2022 - Demo] Restoration of Analog Videos Using Swin-UNet
[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
Official repository for the paper titled "Bitstream-corrupted Video Recovery: A Novel Benchmark Dataset and Method", accepted by NeurIPS 2023 Dataset and Benchmark Track
Video restoration Processing Pipeline
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