KamilDeja / joint_diffusion
☆12Updated last year
Alternatives and similar repositories for joint_diffusion:
Users that are interested in joint_diffusion are comparing it to the libraries listed below
- Code for "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" @ ICML 2022☆15Updated 2 years ago
- Official Implementation of the paper: A Complete Recipe for Diffusion Generative Models☆30Updated 4 months ago
- ☆32Updated 2 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆34Updated 3 years ago
- [NeurIPS 2024, spotlight] Multivariate Learned Adaptive Noise for Diffusion Models☆18Updated 3 months ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated last year
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated 11 months ago
- Denoising Diffusion Implicit Models☆28Updated 3 years ago
- [NeurIPS 2023] Official Implementation: "Consistent Diffusion Models"☆55Updated last year
- Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.☆24Updated 3 years ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆80Updated last month
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆49Updated 2 years ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.☆16Updated 2 years ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆40Updated last year
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆48Updated 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…☆54Updated 2 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆35Updated 4 months ago
- ☆19Updated last year
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆39Updated 3 years ago
- Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations☆28Updated last year
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆40Updated last year
- Official repo for FunkNN: Neural Interpolation for Functional Generation☆10Updated last year
- Pytorch implementation of DGflow (ICLR 2021).☆17Updated 4 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆79Updated 2 years ago
- Official PyTorch implementation of "Denoising MCMC for Accelerating Diffusion-Based Generative Models", ICML 2023 Oral Paper☆29Updated last year
- ☆39Updated 3 weeks ago
- ☆13Updated 2 years ago
- ☆11Updated last year
- Official code for the paper "Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks".☆16Updated 3 years ago