TAVIE-SSG

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

A High-Quality Real Time Upscaler for Anime Video

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

Machine learning, in numpy

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.

A collaboration friendly studio for NeRFs

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.