Utilized attention incorporated UNet model for conditional image generation using Flow Matching with Conditional Optimal Transport Objective
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Updated
Dec 29, 2023 - Jupyter Notebook
Utilized attention incorporated UNet model for conditional image generation using Flow Matching with Conditional Optimal Transport Objective
A minimal example for training a flow matching model in a pretrained VAE's latent space to generate MNIST digits.
Flow Matching Generative Models for 'Full Phase Space Resonant Anomaly Detection' (https://arxiv.org/abs/2310.06897)
Implementation of flow matching on tabular data using XGBoost
An official pytorch implementation of EACL2024 short paper "Flow Matching for Conditional Text Generation in a Few Sampling Steps"
EPiC Flow Matching Implementation for Generating Jets as Point Clouds (https://arxiv.org/abs/2310.00049)
Easily train and evaluate multiple generative models on various particle physics datasets
A pytorch implementation of paper "Motion Flow Matching for Human Motion Synthesis and Editing"
An official pytorch implementation of AAAI 2024 paper "Latent Space Editing in Transformer-based Flow Matching"
[ICLR 2024] Official implementation of Bellman Optimal Stepsize Straightening of Flow-Matching Models
Mixed continous/categorical flow-matching model for de novo molecule generation.
Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc
Diffusion Singing Voice Conversion based on Grad-TTS from HuaWei
FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation
Official PyTorch implementation of the paper: Flow Matching in Latent Space
A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model"
Unofficial implementation of NVIDIA P-Flow TTS paper
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
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