basiclab / GNGAN-PyTorch
Official implementation for Gradient Normalization for Generative Adversarial Networks
☆71Updated 2 years ago
Related projects: ⓘ
- Official Pytorch implementation of "DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network" (CVPR'21)☆74Updated 3 years ago
- The official TensorFlow implementation for ICCV'21 paper 'Dual Contrastive Loss and Attention for GANs'☆34Updated last year
- Sliced Wasserstein Distance (SWD) in PyTorch☆107Updated 4 years ago
- Unofficial PyTorch implementation of the paper "Generating images with sparse representations"☆36Updated 3 years ago
- Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)☆189Updated 2 years ago
- Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)☆163Updated 3 months ago
- [NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe …☆84Updated 2 years ago
- A PyTorch implementation of VITGAN: Training GANs with Vision Transformers☆54Updated 2 years ago
- A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.☆164Updated 2 years ago
- [NeurIPS 2021] Self-Supervised GANs with Label Augmentation☆19Updated last year
- Official PyTorch Implementation of transitional-cGAN☆45Updated 2 years ago
- This is a pytorch implementation of the paper "On Leveraging Pretrained GANs for Limited-Data Generation".☆58Updated 4 years ago
- PyTorch Implementation of cGANTransfer☆45Updated 2 years ago
- ☆50Updated 3 years ago
- BigGAN; Knowledge Distillation; Black-Box; Fast Training; 16x compression☆75Updated 3 years ago
- Full-Glow: Fully conditional Glow for more realistic image generation☆25Updated 2 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆78Updated last year
- Official repository for HP-VAE-GAN☆57Updated last month
- ☆124Updated 3 years ago
- [NeurIPS2022] FreGAN: Exploiting Frequency Components for Training GANs under Limited Data☆57Updated last year
- The official code of WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation (ECCV2022)☆73Updated last year
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆120Updated 2 years ago
- Positional Normalization (PONO) and Moment Shortcut (MS)☆154Updated 3 years ago
- Few-shot adaptation of GANs.☆120Updated 3 years ago
- ☆53Updated 2 years ago
- Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021, oral.☆157Updated 5 months ago
- PyTorch implementation of EigenGAN☆64Updated 3 years ago
- [ECCV 2022] FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs☆21Updated last year
- [ICLR 2021] Zero-shot Synthesis with Group-Supervised Learning☆70Updated 3 years ago
- A pytorch implementation of Paper "IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis"☆91Updated 5 years ago