metadata
title: Rethinking Test Time Scaling for Flow-Matching Generative Models
license: apache-2.0
arxiv: 2511.22242
tags:
- flow-matching
- test-time-scaling
- generative-models
Rethinking Test Time Scaling for Flow-Matching Generative Models
About
This repository contains the models and configuration for our paper Rethinking Test Time Scaling for Flow-Matching Generative Models.
After analyzing the limitations of existing methods on ODE flow-matching models, we propose:
DOG-Trim: Diversity enhanced Order aligned Global flow Trimming
Qualitative examples using Flux1.dev:
Citation
If you find this work useful, please consider citing our arXiv preprint.
@article{yu2026RethinkTTS,
title={Rethinking Test Time Scaling for Flow-Matching Generative Models},
author={Yu, Qingtao and Song, Changlin and Sun, Minghao and Yu, Zhengyang and Verma, Vinay Kumar and Roy, Soumya and Negi, Sumit and Li, Hongdong and Campbell, Dylan},
journal={arXiv preprint arXiv:2511.22242},
year={2026}
}