Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network
MIT License
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image gen...
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to...
A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Py...
Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch
A simple way to keep track of an Exponential Moving Average (EMA) version of your pytorch model
Adversarially Learned Inference in Pytorch
ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research ...
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregress...
PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAA...
Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images an...
Code snippets created for the PyTorch discussion board
FILM: Frame Interpolation for Large Motion, In ECCV 2022.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...