dzld00 / pytorch-manifold-matching
[ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
☆79Updated last year
Alternatives and similar repositories for pytorch-manifold-matching:
Users that are interested in pytorch-manifold-matching are comparing it to the libraries listed below
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆34Updated 3 years ago
- Full-Glow: Fully conditional Glow for more realistic image generation☆27Updated 3 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- Invertible Generative Flows☆81Updated 3 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
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆53Updated 2 years ago
- ☆29Updated 4 years ago
- Official PyTorch implementation for FastDPM, a fast sampling algorithm for diffusion probabilistic models☆81Updated 3 years ago
- [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
- Denoising Diffusion Implicit Models☆28Updated 3 years ago
- (CVPR 2021) DC-VAE: Dual Contradistinctive Generative Autoencoder☆38Updated 2 years ago
- ☆61Updated last year
- Supplementary code for "When, Why, and Which Pretrained GANs Are Useful?" (ICLR'22)☆24Updated 2 years ago
- [NeurIPS 2021] Why Spectral Normalization Stabilizes GANs: Analysis and Improvements☆40Updated last year
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆146Updated last year
- Official code repository for Instance Selection for GANs.☆44Updated 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
- ☆32Updated 4 years ago
- [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"☆133Updated 2 years ago
- ☆13Updated 3 years ago
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆43Updated 2 years ago
- Conditional-Glow for Structured Prediction☆27Updated last year
- Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation (ICCV 2021)☆69Updated 2 years ago
- Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model☆73Updated 2 years ago
- Official repository for HP-VAE-GAN☆57Updated 5 months ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- A new play-and-plug method of controlling an existing generative model with conditioning attributes and their compositions.☆71Updated 3 years ago
- Train a Mixture of Factor Analyzers (MFA) / Mixture of Probabilistic PCA (MPPCA) - low-rank-plus-diagonal GMMs using pytorch☆40Updated 2 years ago
- ☆49Updated 3 years ago
- [NeurIPS 2021] Low-Rank Subspaces in GANs☆123Updated 2 years ago