1 citations · 1 across the 5 of their papers we have counts for
5 papers
PhysFlow: Physics-Aware Optical Flow for Motion Controllable Video Generation
Cong Wang, Hanxin Zhu, Yonglin Tian +5
Video generation models have recently attracted substantial attention for their ability to generate visually compelling videos, yet ensuring physically consistent and plausible dyn…
OrthoPhys: Physically Plausible Video Generation with Orthogonal-View Geometry Guidance
Cong Wang, Hanxin Zhu, Xiao Tang +4
Recent progress in video generation has led to substantial improvements in visual fidelity, yet ensuring physically consistent motion remains a fundamental challenge. Intuitively,…
What Is The Best 3D Scene Representation for Robotics? From Geometric to Foundation Models
Tianchen Deng, Yue Pan, Shenghai Yuan +10
In this paper, we provide a comprehensive overview of existing scene representation methods for robotics, covering traditional representations such as point clouds, voxels, signed…
4DRadar-GS: Self-Supervised Dynamic Driving Scene Reconstruction with 4D Radar
Xiao Tang, Guirong Zhuo, Cong Wang +5
3D reconstruction and novel view synthesis are critical for validating autonomous driving systems and training advanced perception models. Recent self-supervised methods have gaine…
DriveSplat: Unified Neural Gaussian Reconstruction for Dynamic Driving Scenes
Cong Wang, Ruiqi Song, Wei Tian +3
Reconstructing large-scale dynamic driving scenes remains challenging due to the coexistence of static environments with extreme depth variation and diverse dynamic actors exhibiti…