Latent Action Control for Reasoning-Guided Unified Image Generation
A reasoning-guided unified generation framework that turns planning, internal drafting, diagnosis, and refinement into hidden continuous actions consumed by the generator.
Research
My recent work focuses on image generation, unified understanding-generation models, latent visual reasoning, reward modeling, and open-world visual understanding.
A reasoning-guided unified generation framework that turns planning, internal drafting, diagnosis, and refinement into hidden continuous actions consumed by the generator.
A self-evolving image-generation agent that distills structured experience from tool-orchestrated generation trajectories.
Rule-grounded and context-aware modeling for open-world driver anomaly detection.
A reward modeling framework for typography-, layout-, and aesthetics-aware evaluation of graphic design generation.