[ICML 2024] EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
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Updated
Jun 29, 2024 - Python
[ICML 2024] EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
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.
ICIP2024 challenge for 360 super resolution
A comparison tool to aid image/video enhancement research
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
A Novel Approach leveraging Auto-Encoders, LSTM Networks and Maximum Entropy Principle for Video Super-Resolution (Upscaling and Frame Interpolation)
Video restoration Processing Pipeline
[CVPR 2022] Official PyTorch Implementation for "Reference-based Video Super-Resolution Using Multi-Camera Video Triplets"
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.
Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
Video Super Resolution library that implements training and evaluation of video super resolution architectures. Metrics and SoA architectures are already implemented, for quick fine-tuning and evaluation.
This project is the official implementation of 'Structured Sparsity Learning for Efficient Video Super-Resolution', CVPR2023
Video restoration based on deep learning: a comprehensive survey
Upscale Twitch stream and restream into Twitch or RTMP or File.
A deep learning model that achieves video super-resolution tasks with temporal and spatial attention in cascade
Super-resolution videos in macOS with Waifu2x.
HiRN: Hierarchical Recurrent Neural Network for Video Super-Resolution (VSR) using Two-Stage Feature Evolution - Official Repository (Applied Soft Computing)
HiRN: Hierarchical Recurrent Neural Network for Video Super-Resolution (VSR) using Two-Stage Feature Evolution - Official Repository (Applied Soft Computing)
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