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
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60Updated 3 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆89Updated 2 years ago
- Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”☆76Updated 2 years ago
- ☆63Updated 2 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated 11 months ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Updated 3 years ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Updated 2 years ago
- Neural Diffusion Processes☆81Updated last year
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆57Updated 3 years ago
- Pytorch implementation of DGflow (ICLR 2021).☆17Updated 4 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆25Updated last year
- PyTorch implementation of Variational Diffusion Models.☆94Updated last year
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆71Updated last year
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆66Updated 3 years ago
- PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.☆57Updated last year
- [NeurIPS 2023] Official Implementation: "Ambient Diffusion: Learning Clean Distributions from Corrupted Data"☆83Updated last year
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆147Updated 5 years ago
- A minimalist implementation of score-based diffusion model☆129Updated 4 years ago
- ☆24Updated 3 years ago
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"☆90Updated 4 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆24Updated 3 years ago
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆196Updated last year
- ☆52Updated 4 years ago
- ☆32Updated 3 years ago
- Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist☆59Updated last year
- Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a re…☆109Updated 3 years ago
- Package for working with hypernetworks in PyTorch.☆131Updated 2 years ago
- Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations☆28Updated 2 years ago