3 papers
cs.CV2026
CRAFT: Constrained Reward via Attention Fine-Tuning for Subject Personalization without Composed Targets
Jihun Park, Kyoungmin Lee, Jongmin Gim +6
Subject-driven image personalization---generating new images that preserve the identity of one or several reference subjects in novel scenes---is a foundational capability for mode…
cs.CV2025
Reframing Music-Driven 2D Dance Pose Generation as Multi-Channel Image Generation
Yan Zhang, Han Zou, Lincong Feng +3
Recent pose-to-video models can translate 2D pose sequences into photorealistic, identity-preserving dance videos, so the key challenge is to generate temporally coherent, rhythm-a…
cs.CV2024
SerialGen: Personalized Image Generation by First Standardization Then Personalization
Cong Xie, Han Zou, Ruiqi Yu +2
In this work, we are interested in achieving both high text controllability and whole-body appearance consistency in the generation of personalized human characters. We propose a n…