The author's officially unofficial PyTorch BigGAN implementation.

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

Pytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)

Pretrained Image & Video ConvNets and GANs for PyTorch: NASNet, ResNeXt (2D + 3D), ResNet (2D + 3D), InceptionV4, InceptionResnetV2, Xception, DPN, NonLocalNets, R(2+1)D nets, MultiView CNNs, Temporal Relation Networks, BigGANs StyleGANs, etc.

Pretrained GANs in PyTorch: StyleGAN2, BigGAN, BigBiGAN, SAGAN, SNGAN, SelfCondGAN, and more

GAN encoders in PyTorch that could match PGGAN, StyleGAN v1/v2, and BigGAN. Code also integrates the implementation of these GANs.

Pytorch implementation of BigGAN Generator with pretrained weights

not-so-biggan PyTorch implementation

Distributed version (multiple-process) for training BigGAN with TPU.

Single thread version for training BigGAN with TPU.

Pytorch implementation of BigGAN from https://arxiv.org/abs/1809.11096 (Brock et al. 2018)

No description available

Parallel version (multiple-thread) for training BigGAN with TPU.

The repo reimplement the officially unofficial repo. BigGAN

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Fork of BigGAN-Pytorch for Finetuning with VCA

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BigGAN pretrained model using pytorch

Codes from https://github.com/AaronLeong/BigGAN-pytorch and add Chinese comments.

Generating High Fidelity Handbags with BigGAN (PyTorch)

Modification of https://github.com/ajbrock/BigGAN-PyTorch for Proteins

Code from June 2019 with various experiments on manipulating pytorch_pretrained_biggan images

Generated and analyzed images using BigGAN in PyTorch by combining class labels and random noise. This project explores how pretrained GANs create new content and how small changes in the input vector affect the results.