3 papers
cs.LG2026
Discrete Meanflow Training Curriculum
Chia-Hong Hsu, Frank Wood
Flow-based image generative models exhibit stable training and produce high quality samples when using multi-step sampling procedures. One-step generative models can produce high q…
cs.LG2026
Post-Hoc Guidance for Consistency Models by Joint Flow Distribution Learning
Chia-Hong Hsu, Randall Balestriero
Classifier-free Guidance (CFG) lets practitioners trade-off fidelity against diversity in Diffusion Models (DMs). The practicality of CFG is however hindered by DMs sampling cost.…
cs.CV2025
Beyond and Free from Diffusion: Invertible Guided Consistency Training
Chia-Hong Hsu, Shiu-hong Kao, Randall Balestriero
Guidance in image generation steers models towards higher-quality or more targeted outputs, typically achieved in Diffusion Models (DMs) via Classifier-free Guidance (CFG). However…