dzld00 / pytorch-manifold-matching
[ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
☆80Updated 2 years ago
Alternatives and similar repositories for pytorch-manifold-matching:
Users that are interested in pytorch-manifold-matching are comparing it to the libraries listed below
- Full-Glow: Fully conditional Glow for more realistic image generation☆28Updated 3 years ago
- Official code repository for Instance Selection for GANs.☆44Updated 4 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆35Updated 3 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- Invertible Generative Flows☆82Updated 4 years ago
- Official repository for HP-VAE-GAN☆56Updated 9 months ago
- (CVPR 2021) DC-VAE: Dual Contradistinctive Generative Autoencoder☆40Updated 2 years ago
- [NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe …☆85Updated 3 years ago
- Supplementary code for "When, Why, and Which Pretrained GANs Are Useful?" (ICLR'22)☆24Updated 3 years ago
- ☆33Updated 5 years ago
- ☆53Updated 4 years ago
- PyTorch implementation of Contrastive Feature Loss for Image Prediction (AIM Workshop at ICCV 2021)☆53Updated 3 years ago
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆44Updated 3 years ago
- Invert and perturb GAN images for test-time ensembling☆96Updated 3 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
- Official PyTorch implementation for FastDPM, a fast sampling algorithm for diffusion probabilistic models☆84Updated 3 years ago
- Tensorflow code of the paper "Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game".☆36Updated 5 years ago
- ☆60Updated 2 years ago
- [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs☆41Updated 4 years ago
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆125Updated 3 years ago
- Denoising Diffusion Implicit Models☆28Updated 4 years ago
- Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation (ICCV 2021)☆70Updated 3 years ago
- ☆31Updated 4 years ago
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆148Updated last year
- [CVPR 2021] Smoothing the Disentangled Latent Style Space for Unsupervised I2I Translation☆42Updated 2 years ago
- [ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen☆26Updated 3 years ago
- CVPR 2022☆146Updated 9 months ago
- [NeurIPS 2021] Why Spectral Normalization Stabilizes GANs: Analysis and Improvements☆40Updated 2 years ago
- [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"☆132Updated 3 years ago
- Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021☆45Updated 3 years ago