6 papers
PhysRAG: Enhancing Physics-Awareness in Video Generation via Retrieval-Augmented Generation
Kexu Cheng, Zicheng Liu, Mingju Gao +2
Developing physically aware video generation models remains a significant challenge due to the difficulty in capturing diverse physical phenomena, such as thermal dynamics, mechani…
PAM: A Pose-Appearance-Motion Engine for Sim-to-Real HOI Video Generation
Mingju Gao, Kaisen Yang, Huan-ang Gao +13
Hand-object interaction (HOI) reconstruction and synthesis are becoming central to embodied AI and AR/VR. Yet, despite rapid progress, existing HOI generation research remains frag…
Alias-free 4D Gaussian Splatting
Zilong Chen, Huan-ang Gao, Delin Qu +4
Existing dynamic scene reconstruction methods based on Gaussian Splatting enable real-time rendering and generate realistic images. However, adjusting the camera's focal length or…
SCP-Diff: Spatial-Categorical Joint Prior for Diffusion Based Semantic Image Synthesis
Huan-ang Gao, Mingju Gao, Jiaju Li +4
Semantic image synthesis (SIS) shows good promises for sensor simulation. However, current best practices in this field, based on GANs, have not yet reached the desired level of qu…
CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting
Haoran Xu, Saining Zhang, Peishuo Li +15
Vehicle-to-everything (V2X) communication plays a crucial role in autonomous driving, enabling cooperation between vehicles and infrastructure. While simulation has significantly c…
PartRM: Modeling Part-Level Dynamics with Large Cross-State Reconstruction Model
Mingju Gao, Yike Pan, Huan-ang Gao +6
As interest grows in world models that predict future states from current observations and actions, accurately modeling part-level dynamics has become increasingly relevant for var…