CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching

NeurIPSSpotlight2025

Authors
Chen Chen, Pengsheng Guo, Liangchen Song, Jiasen Lu, Rui Qian, Tsu-Jui Fu, Xinze Wang, Wei Liu, Yinfei Yang, Alex Schwing
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Conditional generative modeling aims to learn a conditional data distribution from samples containing data-condition pairs…

Opening excerpt from the authors’ abstract. source

Read the paper

Topics

generative model flow matching

Related NeurIPS papers

← All NeurIPS 2025 Spotlight papers · Browse the whole archive