POSTECH-CVLab / PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
☆3,450Updated 6 months ago
Alternatives and similar repositories for PyTorch-StudioGAN:
Users that are interested in PyTorch-StudioGAN are comparing it to the libraries listed below
- Generative Adversarial Transformers☆1,333Updated 2 years ago
- [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training☆1,297Updated 4 months ago
- Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch☆2,770Updated last year
- [NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang☆1,661Updated 2 years ago
- StyleGAN2-ADA - Official PyTorch implementation☆4,196Updated 9 months ago
- A mix of GAN implementations including progressive growing☆1,624Updated 3 years ago
- Compute FID scores with PyTorch.☆3,548Updated 7 months ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,266Updated 11 months ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,038Updated 2 years ago
- NVIDIA's Deep Imagination Team's PyTorch Library☆4,042Updated 2 years ago
- Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)☆2,289Updated last year
- Code release for ConvNeXt model☆5,872Updated 2 years ago
- Taming Transformers for High-Resolution Image Synthesis☆6,015Updated 6 months ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,088Updated 2 months ago
- [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets☆972Updated 7 months ago
- The author's officially unofficial PyTorch BigGAN implementation.☆2,892Updated last year
- solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning☆1,462Updated this week
- Official DeiT repository☆4,137Updated 11 months ago
- MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.☆1,940Updated last year
- Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch☆1,105Updated 3 years ago
- PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]☆1,016Updated 6 months ago
- Official PyTorch implementation of StyleGAN3☆6,567Updated last year
- [NeurIPS'21] Projected GANs Converge Faster☆890Updated 8 months ago
- [CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.☆605Updated 2 years ago
- [TPAMI 2022] GAN Inversion: A Survey☆1,122Updated 2 weeks ago
- Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)☆1,872Updated 6 months ago
- Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.☆1,192Updated 3 years ago
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆4,890Updated 2 months ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,715Updated 2 weeks ago
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,187Updated last year