Movatterモバイル変換


[0]ホーム

URL:


Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings
#

video-super-resolution

Here are 77 public repositories matching this topic...

Waifu2x-Extension-GUI

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.

  • UpdatedNov 17, 2025
  • C++

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.

  • UpdatedAug 6, 2024
  • Jupyter Notebook

[CVPR 2024] Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution

  • UpdatedSep 27, 2024
  • Python

[ICML 2024] EvTexture: Event-driven Texture Enhancement for Video Super-Resolution

  • UpdatedAug 9, 2025
  • Python

Towards Real-Time Diffusion-Based Streaming Video Super-Resolution — An efficient one-step diffusion framework for streaming VSR with locality-constrained sparse attention and a tiny conditional decoder.

  • UpdatedNov 21, 2025
  • Python

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

  • UpdatedSep 5, 2021
  • Python

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

  • UpdatedDec 22, 2020

Official codes of VEnhancer: Generative Space-Time Enhancement for Video Generation

  • UpdatedSep 16, 2024
  • Python

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

  • UpdatedOct 10, 2022
  • Python

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

  • UpdatedMay 30, 2025
  • C++

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

  • UpdatedJul 24, 2022
  • Python

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

  • UpdatedApr 2, 2024
  • Python

Video super resolution implemented in Pytorch

  • UpdatedOct 8, 2019
  • Python

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

  • UpdatedOct 22, 2024
  • Python

a collection of classic tensorflow & pytorch cnn models' implementation

  • UpdatedMar 22, 2018
  • Python

[ECCV 2024] Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models

  • UpdatedFeb 7, 2025
  • Python

Super-resolution videos in macOS with Waifu2x.

  • UpdatedJun 22, 2023
  • Swift

The state-of-the-art VSR

  • UpdatedJul 19, 2023

Improve this page

Add a description, image, and links to thevideo-super-resolution topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with thevideo-super-resolution topic, visit your repo's landing page and select "manage topics."

Learn more


[8]ページ先頭

©2009-2025 Movatter.jp