dzld00 / pytorch-manifold-matching
[ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
☆79Updated 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
- Invertible Generative Flows☆82Updated 4 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- Full-Glow: Fully conditional Glow for more realistic image generation☆27Updated 3 years ago
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆148Updated last year
- [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
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆34Updated 3 years ago
- ☆31Updated 4 years ago
- A repo for "Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation"☆50Updated 2 years ago
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆43Updated 3 years ago
- Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)☆45Updated 2 years ago
- Official code repository for Instance Selection for GANs.☆44Updated 4 years ago
- PyTorch implementation of Contrastive Feature Loss for Image Prediction (AIM Workshop at ICCV 2021)☆53Updated 3 years ago
- [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"☆132Updated 3 years ago
- (CVPR 2021) DC-VAE: Dual Contradistinctive Generative Autoencoder☆40Updated 2 years ago
- The PyTorch implementation of the GLF☆21Updated 3 years ago
- ICCV2021 (poster)☆74Updated 3 years ago
- Official repository for HP-VAE-GAN☆57Updated 8 months ago
- This is a pytorch implementation of the paper "On Leveraging Pretrained GANs for Limited-Data Generation".☆59Updated 4 years ago
- ☆15Updated 4 years ago
- Supplementary code for "When, Why, and Which Pretrained GANs Are Useful?" (ICLR'22)☆24Updated 3 years ago
- Official implementation for Gradient Normalization for Generative Adversarial Networks☆71Updated 3 years ago
- Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation (ICCV 2021)☆70Updated 3 years ago
- PyTorch implementation of "Glow: Generative Flow with Invertible 1x1 Convolutions"☆44Updated 6 years ago
- Tensorflow code of the paper "Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game".☆36Updated 5 years ago
- ☆33Updated 5 years ago
- [NeurIPS 2021] Low-Rank Subspaces in GANs☆124Updated 2 years ago
- Code for "Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks" (NeurIPS 2021)☆20Updated 3 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆55Updated 2 years ago
- Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)☆189Updated 3 years ago
- Official Code for ICLR2021 paper "A Geometric Analysis of Deep Generative Image Models and Its Applications"☆48Updated 2 months ago