There are 80 repositories under video-super-resolution topic.
Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
VRT: A Video Restoration Transformer (official repository)
[ICML 2024] EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
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
Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)
Official codes of VEnhancer: Generative Space-Time Enhancement for Video Generation
[CVPR'22 Oral] TTVSR: Learning Trajectory-Aware Transformer for Video Super-Resolution
[CVPR 2022] Official PyTorch Implementation for "Reference-based Video Super-Resolution Using Multi-Camera Video Triplets"
Video super resolution implemented in Pytorch
Frame-Recurrent Video Super-Resolution (official repository)
a collection of classic tensorflow & pytorch cnn models' implementation
[ECCV'22] FTVSR: Learning Spatiotemporal Frequency-Transformer for Compressed 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.
Super-resolution videos in macOS with Waifu2x.
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.
The state-of-the-art VSR
This project is the official implementation of 'Structured Sparsity Learning for Efficient Video Super-Resolution', CVPR2023
Official PyTorch implementation of "Deep Slow Motion Video Reconstruction with Hybrid Imaging System" (TPAMI)
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).
The official codebase for the Real-Time Video Super-Resolution Challenge in Mobile AI (MAI) Workshop@ CVPR 2022 & Advances in Image Manipulation (AIM) Workshop @ ECCV 2022
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
天池2019阿里巴巴优酷视频增强和超分辨率挑战赛自用代码,EDVR、WDSR、ESRGAN三个模型。
Keras implementation of EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
Video Super Resolution Framework with Pytorch
Video restoration Processing Pipeline
Video super-resolution and interpolation - EDVR and DAIN combined for easier non-academic use.
Upscale any number of videos using this colab notebook!
A comparison tool to aid image/video enhancement research
[AIR 2023] Video restoration based on deep learning: a comprehensive survey
A List of Recent Space-Time Video Super-Resolution methods