VITA-Group / Ultra-Data-Efficient-GAN-Training
[NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang
☆84Updated 3 years ago
Alternatives and similar repositories for Ultra-Data-Efficient-GAN-Training:
Users that are interested in Ultra-Data-Efficient-GAN-Training are comparing it to the libraries listed below
- [ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen☆26Updated 3 years ago
- Tensorflow code of the paper "Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game".☆36Updated 5 years ago
- Invert and perturb GAN images for test-time ensembling☆96Updated 3 years ago
- Official code repository for Instance Selection for GANs.☆44Updated 4 years ago
- Official repository for HP-VAE-GAN☆57Updated 9 months ago
- ☆31Updated 4 years ago
- [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"☆132Updated 3 years ago
- ICCV2021 (poster)☆74Updated 3 years ago
- Invertible Generative Flows☆82Updated 4 years ago
- This is a pytorch implementation of the paper "On Leveraging Pretrained GANs for Limited-Data Generation".☆59Updated 4 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆80Updated 2 years ago
- BigGAN-AM improves the sample diversity of BigGAN and synthesizes Places365 images.☆20Updated last year
- Code for paper `Improving the Fairness of Deep Generative Models without Retraining`☆29Updated 4 years ago
- Curriculum by Smoothing (NeurIPS 2020)☆39Updated 4 years ago
- ☆41Updated 2 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 3 years ago
- The PyTorch implementation of Latent Video Transformer.☆99Updated 11 months ago
- [ICCV 2023] One-Shot Generative Domain Adaptation☆55Updated 3 years ago
- [ICLR'21] Counterfactual Generative Networks☆107Updated 3 years ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆17Updated 5 years ago
- Datasets for new state-of-the-art challenge in disentanglement learning☆45Updated 5 years ago
- [NeurIPS'20] Learning Semantic-aware Normalization for Generative Adversarial Networks☆52Updated 3 years ago
- PyTorch implementation of Contrastive Feature Loss for Image Prediction (AIM Workshop at ICCV 2021)☆53Updated 3 years ago
- Implementation of ECCV 2020 paper: "Controllable Image Synthesis via SegVAE". Project page: https://yccyenchicheng.github.io/SegVAE/. Pap…☆54Updated 3 years ago
- Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)☆189Updated 3 years ago
- Code for our Paper "One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN"☆72Updated 4 years ago
- Fair Attribute Classification through Latent Space De-biasing (CVPR 2021)☆74Updated 3 years ago
- BigGAN; Knowledge Distillation; Black-Box; Fast Training; 16x compression☆74Updated 4 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆35Updated 3 years ago
- Few-shot adaptation of GANs.☆123Updated 4 years ago