Wenhan Luo* — accepted AI-conference papers

2024

OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models

Zhe Kong*, Yong Zhang*, Tianyu Yang, Tao Wang, Kaihao Zhang, Bizhu Wu +3

ECCV 2024poster

"Personalization is an important topic in text-to-image generation, especially the challenging multi-concept personalization. Current multi-concept methods are struggling with identity preservation, occlusion, and the harmony between foreground and background. In this work, we propose OMG, an occlus…

Cited by 33 Source ↗PDF ↗code ↗Scholar ↗

2024

Prompting Future Driven Diffusion Model for Hand Motion Prediction

Bowen Tang*, Kaihao Zhang*, Wenhan Luo*, Wei Liu, HONGDONG LI

ECCV 2024poster

"Hand motion prediction from both first- and third-person perspectives is vital for enhancing user experience in AR/VR and ensuring safe remote robotic arm control. Previous works typically focus on predicting hand motion trajectories or human body motion, with direct hand motion prediction remainin…

Cited by 7 Source ↗PDF ↗Scholar ↗