kxh001 / ITdiffusionLinks
Information-Theoretic Diffusion: A brand new diffusion model / density estimator based on information theory.
☆36Updated last year
Alternatives and similar repositories for ITdiffusion
Users that are interested in ITdiffusion are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆39Updated last year
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆61Updated 3 years ago
- ☆63Updated 2 years ago
- Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”☆76Updated 2 years ago
- PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.☆60Updated last year
- Deep Learning & Information Bottleneck☆62Updated 2 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Updated last year
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆88Updated 9 months ago
- Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a re…☆110Updated 3 years ago
- ☆24Updated 3 years ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Updated 2 years ago
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆14Updated last year
- PyTorch implementation of Variational Diffusion Models.☆104Updated last year
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"☆89Updated 4 years ago
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆33Updated last year
- Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist☆64Updated last year
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Updated 4 years ago
- Representation Learning with Diffusion Models☆32Updated 3 years ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated 2 years ago
- Neural Diffusion Processes☆81Updated last year
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆151Updated 3 years ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆28Updated 2 years ago
- ☆31Updated 4 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated last year
- [NeurIPS 2023] Official Implementation: "Ambient Diffusion: Learning Clean Distributions from Corrupted Data"☆84Updated 2 years ago
- A minimalist implementation of score-based diffusion model☆129Updated 4 years ago
- Multiscale de-noising score matching☆20Updated 4 years ago
- ☆20Updated 4 years ago
- ☆16Updated 2 years ago