Lornatang / PyTorch-NCSN
This is the best GAN method to generate cifar-10
☆17Updated 5 years ago
Alternatives and similar repositories for PyTorch-NCSN:
Users that are interested in PyTorch-NCSN are comparing it to the libraries listed below
- The official TensorFlow implementation for ICCV'21 paper 'Dual Contrastive Loss and Attention for GANs'☆34Updated 2 years ago
- Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)☆164Updated 11 months ago
- Official Pytorch implementation of "DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network" (CVPR'21)☆75Updated 4 years ago
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆125Updated 3 years ago
- PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].☆18Updated 3 years ago
- Unofficial PyTorch implementation of the paper "Generating images with sparse representations"☆38Updated 4 years ago
- CVPR 2022☆146Updated 10 months ago
- Sliced Wasserstein Distance (SWD) in PyTorch☆111Updated 5 years ago
- Supplementary code for "When, Why, and Which Pretrained GANs Are Useful?" (ICLR'22)☆24Updated 3 years ago
- [NeurIPS2022] FreGAN: Exploiting Frequency Components for Training GANs under Limited Data☆58Updated 2 years ago
- Full-Glow: Fully conditional Glow for more realistic image generation☆28Updated 3 years ago
- Official implementation for Gradient Normalization for Generative Adversarial Networks☆71Updated 3 years ago
- See https://github.com/ilyakava/gan for results on Imagenet 128. Code for a Multi-Hinge Loss with K+1 Conditional GANs☆24Updated 4 years ago
- Wasserstein Divergence for GANs☆19Updated 4 years ago
- ☆53Updated 4 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆80Updated 2 years ago
- ☆126Updated 3 years ago
- Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)☆190Updated 3 years ago
- This is a pytorch implementation of the paper "On Leveraging Pretrained GANs for Limited-Data Generation".☆59Updated 4 years ago
- Code for the Paper "Improving Diffusion Model Efficiency Through Patching"☆114Updated last year
- Official implementation for "Style Transformer for Image Inversion and Editing" (CVPR 2022)☆182Updated 2 years ago
- Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation (ICCV 2021)☆70Updated 3 years ago
- Unpaired Image-to-Image Translation with Transformer-based GANs in PyTorch [WIP]☆64Updated 3 years ago
- A PyTorch implementation of VITGAN: Training GANs with Vision Transformers☆56Updated 3 years ago
- Implementation of StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation in PyTorch☆98Updated 4 years ago
- A repo for "Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation"☆51Updated 2 years ago
- [NeurIPS 2021] Self-Supervised GANs with Label Augmentation☆22Updated 2 years ago
- ☆79Updated 3 years ago
- Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)☆98Updated 4 years ago
- The official code of WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation (ECCV2022)☆77Updated 2 years ago