mlpc-ucsd / DC-VAE
(CVPR 2021) DC-VAE: Dual Contradistinctive Generative Autoencoder
☆40Updated 2 years ago
Alternatives and similar repositories for DC-VAE:
Users that are interested in DC-VAE are comparing it to the libraries listed below
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆44Updated 3 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆80Updated 2 years ago
- [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"☆132Updated 3 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆35Updated 3 years ago
- Invertible Generative Flows☆82Updated 4 years ago
- Official repository for HP-VAE-GAN☆56Updated 9 months ago
- Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021☆45Updated 3 years ago
- Fair Generative Modeling via Weak Supervision☆20Updated 2 years ago
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆148Updated last year
- (CVPR 2020) Guided-VAE: Guided Variational Autoencoder for Disentanglement Learning☆26Updated 3 years ago
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆125Updated 3 years ago
- Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)☆45Updated 3 years ago
- Official code repository for Instance Selection for GANs.☆44Updated 4 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆56Updated 2 years ago
- Official PyTorch implementation on ID-GAN: High-Fidelity Synthesis with Disentangled Representation by Lee et al., 2020.☆30Updated 4 years ago
- Denoising Diffusion Implicit Models☆28Updated 4 years ago
- ☆50Updated 5 years ago
- The PyTorch implementation of Latent Video Transformer.☆99Updated last year
- Sliced Wasserstein Distance (SWD) in PyTorch☆111Updated 5 years ago
- Supplementary code for "When, Why, and Which Pretrained GANs Are Useful?" (ICLR'22)☆24Updated 3 years ago
- ☆33Updated 5 years ago
- [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs☆41Updated 4 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- ☆41Updated 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
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆61Updated 2 years ago
- Unsupervised Part Discovery from Contrastive Reconstruction (NeurIPS 2021)☆67Updated last year
- [ICLR'21] Counterfactual Generative Networks☆107Updated 3 years ago
- Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation (ICCV 2021)☆70Updated 3 years ago
- This repository contains the full code for our paper "Theory and evaluation metrics for learning disentangled representations"☆15Updated 4 years ago