mlpc-ucsd / DC-VAELinks
(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
Sorting:
- 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
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆36Updated 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
- [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"☆132Updated 3 years ago
- (CVPR 2020) Guided-VAE: Guided Variational Autoencoder for Disentanglement Learning☆26Updated 3 years ago
- ☆50Updated 5 years ago
- This is a pytorch implementation of the paper "On Leveraging Pretrained GANs for Limited-Data Generation".☆59Updated 4 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆149Updated last year
- Official repository for HP-VAE-GAN☆56Updated 11 months ago
- [ICLR'21] Counterfactual Generative Networks☆107Updated 4 years ago
- ☆33Updated 5 years ago
- Invert and perturb GAN images for test-time ensembling☆96Updated 4 years ago
- Invertible Generative Flows☆85Updated 4 years ago
- This repository constists of the implementations of the Distance Correlation (DC) and Information Over Bias (IOB) metrics proposed in [li…☆22Updated 3 years ago
- Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021☆45Updated 3 years ago
- Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn."☆32Updated 3 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
- Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)☆45Updated 3 years ago
- The PyTorch implementation of Latent Video Transformer.☆99Updated last year
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆125Updated 3 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆60Updated 4 years ago
- Code for NeurIPS 2019 paper Emergence of Object Segmentation in Perturbed Generative Models☆32Updated 5 years ago
- ☆41Updated 2 years ago
- Fair Generative Modeling via Weak Supervision☆20Updated 2 years ago
- Conditional-Glow for Structured Prediction☆27Updated 2 years ago
- ☆31Updated 4 years ago
- BigGAN-AM improves the sample diversity of BigGAN and synthesizes Places365 images.☆20Updated last year
- ☆24Updated 3 years ago