arXiv Machine Learning October 16, 2026 By Andreas Floros, Elena Koritska, Teofilo de Campos, Christoph Vogel, Chu-Tak Li, Anuj Sharma, Alexandros Neophytou

Rethinking Classifier-Free Guidance for TI2I Flow Matching

Read the original on arXiv Machine Learning →

The paper investigates Classifier-Free Guidance (CFG) in Text-and-Image-to-Image (TI2I) flow matching for controllable image editing. It finds that CFG can be implicitly harmful during the noisy phase of flow modeling, reducing instruction following and controllability. The authors propose a simple early-flow correction that improves the alignment‑preservation tradeoff without additional cost, and validate the method on both pixel‑space and latent TI2I flows.

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