atong01 / conditional-flow-matchingLinks
TorchCFM: a Conditional Flow Matching library
☆2,282Updated 2 months ago
Alternatives and similar repositories for conditional-flow-matching
Users that are interested in conditional-flow-matching are comparing it to the libraries listed below
Sorting:
- A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes…☆4,077Updated last month
- Official Implementation of Rectified Flow (ICLR2023 Spotlight)☆1,537Updated last year
- A summary of related works about flow matching, stochastic interpolants☆634Updated this week
- Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,799Updated 3 years ago
- Elucidating the Design Space of Diffusion-Based Generative Models (EDM)☆1,901Updated last year
- PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆2,079Updated last year
- PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838☆1,857Updated last year
- Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.☆825Updated 2 years ago
- PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437☆1,217Updated 11 months ago
- EDM2 and Autoguidance -- Official PyTorch implementation☆816Updated last year
- A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)☆875Updated 3 years ago
- Pytorch Implementation (unofficial) of the paper "Mean Flows for One-step Generative Modeling" by Geng et al.☆1,055Updated last month
- ☆735Updated last year
- [ICLR'25 Oral] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think☆1,534Updated 10 months ago
- A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch☆718Updated 3 years ago
- Denoising Diffusion Implicit Models☆1,782Updated last year
- Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"☆1,092Updated last month
- 从零手搓Flow Matching(Rectified Flow)☆586Updated last month
- Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)☆1,815Updated 2 years ago
- Vector (and Scalar) Quantization, in Pytorch☆3,857Updated last week
- code for "Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion"☆1,147Updated 2 months ago
- PyTorch implementation of normalizing flow models☆929Updated last year
- Implementation of rectified flow and some of its followup research / improvements in Pytorch☆424Updated last week
- Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)☆1,426Updated 2 years ago
- [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)☆700Updated last year
- Self-contained, minimalistic implementation of diffusion models with Pytorch.☆1,138Updated 3 years ago
- Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embed…☆537Updated 10 months ago
- Noise Conditional Score Networks (NeurIPS 2019, Oral)☆769Updated last year
- PyTorch implementation of JiT https://arxiv.org/abs/2511.13720☆2,066Updated last month
- [CVPR 2025 Oral] Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models☆1,382Updated last month