andrey-okhotin / star-shaped
Official PyTorch implementation for the paper Star-Shaped Denoising Diffusion Probabilistic Models
☆16Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for star-shaped
- PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)☆177Updated 10 months ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆118Updated last year
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆48Updated last year
- Official Implementation for "HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks" (NeurIPS 2022)☆91Updated last year
- The aim of this repository is to test and implement Flow-Matching-based models☆29Updated 2 months ago
- [NeurIPS 2023] code for "DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models☆47Updated last year
- Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)☆38Updated 3 months ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆116Updated last year
- Official repo for Discriminator Guidance.☆155Updated last year
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆90Updated 4 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆35Updated 7 months ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆76Updated 5 months ago
- ☆158Updated 6 months ago
- PyTorch implementation of Variational Diffusion Models.☆74Updated 6 months ago
- Official PyTorch implementation of "Denoising MCMC for Accelerating Diffusion-Based Generative Models", ICML 2023 Oral Paper☆28Updated last year
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆121Updated 2 years ago
- CVPR 2022☆142Updated 4 months ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆134Updated 2 years ago
- Improved diffusion generative models with subspaces☆132Updated 2 years ago
- PyTorch implementation of "Extremal Domain Translation with Neural Optimal Transport" (NeurIPS 2023)☆15Updated 6 months ago
- Official PyTorch implementation of the paper: Flow Matching in Latent Space☆195Updated last week
- Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"☆77Updated 7 months ago
- NeurIPS23 "Flow Factorized Representation Learning"☆33Updated 2 weeks ago
- Official Implementation for "Consistency Flow Matching: Defining Straight Flows with Velocity Consistency"☆150Updated 4 months ago
- ☆205Updated last year
- Consistency Models Made Easy☆215Updated 3 weeks ago
- Using pre-trained Diffusion models as priors for inference tasks☆194Updated last year
- Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"☆47Updated 10 months ago
- Code release for the paper Generative Modeling With Inverse Heat Dissipation☆59Updated last year