Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
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Updated
Sep 5, 2021 - Python
Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
VRT: A Video Restoration Transformer (official repository)
[ICML 2024] EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
Video super resolution implemented in Pytorch
Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, 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"
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.
[ECCV'22] FTVSR: Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
[CVPR'22 Oral] TTVSR: Learning Trajectory-Aware Transformer for Video Super-Resolution
[AAAI 2020] Official repository of FISR.
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
Wavelet Attention Embedding Networks for Video Super-Resolution (ICPR 2020) - Official Repository
Keras implementation of EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
Official PyTorch implementation of "Deep Slow Motion Video Reconstruction with Hybrid Imaging System" (TPAMI)
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。
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).
This project is the official implementation of 'Structured Sparsity Learning for Efficient Video Super-Resolution', CVPR2023
Video Super Resolution Framework with Pytorch
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