← Search

Yeobin Hong

2 accepted papers

2026

Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models

ICML 2026spotlight

Diffusion models generate highly realistic images but often struggle with precise text–image alignment. While recent post-training methods improve alignment using external rewards or human preference signals, their performance heavily depends on reward quality and does not directly address alignment…

Cited by 0SourceScholar
2026

FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing

ICLR 2026poster

Recent inversion-free, flow-based image editing methods such as FlowEdit leverages a pre-trained noise-to-image flow model such as Stable Diffusion 3, enabling text-driven manipulation by solving an ordinary differential equation (ODE). While the lack of exact latent inversion is a core advantage of…

Cited by 0SourcecodeScholar