jh-jeong / ContraD
Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)
☆188Updated 3 years ago
Alternatives and similar repositories for ContraD:
Users that are interested in ContraD are comparing it to the libraries listed below
- Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)☆165Updated 9 months ago
- Few-shot adaptation of GANs.☆123Updated 4 years ago
- Official implementation of FQ-GAN☆168Updated 4 years ago
- Improved Precision and Recall Metric for Assessing Generative Models - Official TensorFlow Implementation☆169Updated 3 years ago
- Diverse Image Generation via Self-Conditioned GANs☆157Updated 4 years ago
- [CVPR 2022] Styleformer - Official Pytorch Implementation☆180Updated 2 years ago
- An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.☆46Updated last year
- Implementation of StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation in PyTorch☆98Updated 3 years ago
- Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper☆152Updated 3 years ago
- [NeurIPS 2021] Data-Efficient Instance Generation from Instance Discrimination☆102Updated 2 years ago
- Implemetatin of Progressive Growing of GANs in PyTorch☆63Updated 7 years ago
- [CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence☆292Updated last year
- Official Pytorch implementation of GGDR (ECCV 2022)☆102Updated 2 years ago
- Invert and perturb GAN images for test-time ensembling☆96Updated 3 years ago
- Official Pytorch implementation of "DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network" (CVPR'21)☆75Updated 3 years ago
- CVPR 2022☆144Updated 7 months ago
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆123Updated 2 years ago
- Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.☆252Updated 2 years ago
- Content and Style Disentanglement for Artistic Style Transfer [ICCV19]☆97Updated 3 years ago
- This is a pytorch implementation of the paper "On Leveraging Pretrained GANs for Limited-Data Generation".☆58Updated 4 years ago
- [CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Va…☆197Updated 2 years ago
- ☆47Updated last year
- Official repository for the paper "Image Generators with Conditionally-Independent Pixel Synthesis" (CVPR2021, Oral)☆206Updated 4 years ago
- [IJCV 2022] Disentangled Inference for GANs with Latently Invertible Autoencoder☆88Updated 2 years ago
- [NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe …☆84Updated 3 years ago
- [CVPR 2021] Generative Hierarchical Features from Synthesizing Images☆157Updated 3 years ago
- A simple and useful implementation of LPIPS.☆158Updated last year
- Official Implementation of "The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement" (ECCV 2020 Spotlight)☆207Updated 3 years ago
- Tensorflow implementation for "Improved Transformer for High-Resolution GANs" (NeurIPS 2021).☆92Updated 6 months ago
- [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"☆132Updated 2 years ago