video-super-resolution

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.

OpenMMLab Image and Video Restoration, Editing and Generation Toolbox

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

VRT: A Video Restoration Transformer (official repository)

A list of resources for video enhancement, including video super-resolutio, interpolation, denoising, compression artifact removal et al..

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Video super resolution implemented in Pytorch

Frame-Recurrent Video Super-Resolution (official repository)

a collection of classic tensorflow & pytorch cnn models' implementation

[CVPR 2022] Official PyTorch Implementation for "Reference-based Video Super-Resolution Using Multi-Camera Video Triplets"

Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)

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

Latest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR about image super-resolution and video super-resolution.

It is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation" called VSR-DUF model. There are both training codes and test codes about VSR-DUF based tensorflow.

Official PyTorch implementation of "Deep Slow Motion Video Reconstruction with Hybrid Imaging System" (TPAMI)

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

Official repository of FISR (AAAI 2020).

Official repository containing code and other material from the paper "Efficient Video Super-Resolution through Recurrent Latent Space Propagation" (https://arxiv.org/abs/1909.08080).

Super-resolution videos in macOS with Waifu2x.

Our method and experience of wining the NTIRE22 challenge on video quality enhancement