marcojira / fldLinks
PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
☆51Updated 8 months ago
Alternatives and similar repositories for fld
Users that are interested in fld are comparing it to the libraries listed below
Sorting:
- Official Implementation of understanding the latent space of diffusion models through the lens of riemannian geometry (NeurIPS 2023)☆86Updated last year
- Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"☆62Updated last year
- ☆42Updated last year
- ☆46Updated last year
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆59Updated 3 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆36Updated 4 years ago
- ICML23 "Latent Traversals in Generative Models as Potential Flows"☆26Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models☆70Updated last year
- [ICML 2024]: Official implementation for the paper: "Consistent Diffusion Meets Tweedie"☆53Updated last year
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆84Updated 4 months ago
- The official PyTorch implementation of Manifold Preserving Guided Diffusion (MPGD)☆33Updated last year
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆71Updated last year
- Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"☆40Updated last year
- Implementation of "Analyzing and Improving the Training Dynamics of Diffusion Models"☆94Updated 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
- Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)☆61Updated 2 years ago
- The codebase of our paper "Improving the Training of Rectified Flows", NeurIPS 2024☆114Updated 8 months ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- ☆30Updated 4 years ago
- Visualizing representations with diffusion based conditional generative model.☆95Updated 2 years ago
- Official code for "On Calibrating Diffusion Probabilistic Models"☆29Updated 2 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆36Updated 8 months ago
- Code release for the paper Generative Modeling With Inverse Heat Dissipation☆72Updated 2 years ago
- Official PyTorch implementation of "Denoising MCMC for Accelerating Diffusion-Based Generative Models", ICML 2023 Oral Paper☆29Updated last year
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆61Updated 2 years ago
- Official implementation for "Revisiting Discriminative vs. Generative Classifiers: Theory and Implications".☆15Updated 2 years ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆161Updated 4 months ago
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"☆87Updated 4 years ago
- Code for PnP-Flow: Plug-and-Play image restoration with Flow Matching (ICLR 2025)☆86Updated 3 months ago