POSTECH-CVLab/PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

PythonCudaC++machine-learningdeep-learningpytorchgenerative-adversarial-networkbigganstylegan2stylegan2-adadata-efficient-gan-trainingstylegan3clean-fid
This is stars and forks stats for /POSTECH-CVLab/PyTorch-StudioGAN repository. As of 03 May, 2024 this repository has 3282 stars and 324 forks.

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation. StudioGAN aims to offer an identical playground for modern GANs so that machine learning researchers can readily compare and analyze a new idea. Moreover, StudioGAN provides an unprecedented-scale benchmark for generative models. The benchmark includes results from GANs (BigGAN-Deep, StyleGAN-XL), auto-regressive models (MaskGIT, RQ-Transformer),...
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