6 papers
BRDFusion: Physics Meets Generation for Urban Scene Inverse Rendering
Yi-Ruei Liu, Jie-Ying Lee, Zheng-Hui Huang +2
Inverse rendering of urban scenes from captured videos enables numerous applications, including content creation and autonomous driving simulation. Physically-based rendering metho…
Generalizable Sparse-View 3D Reconstruction from Unconstrained Images
Vinayak Gupta, Chih-Hao Lin, Shenlong Wang +2
Reconstructing 3D scenes from sparse, unposed images remains challenging under real-world conditions with varying illumination and transient occlusions. Existing methods rely on sc…
SceneDiff: A Benchmark and Method for Multiview Object Change Detection
Yuqun Wu, Chih-hao Lin, Henry Che +4
We investigate the problem of identifying objects that have been added, removed, or moved between a pair of captures (images or videos) of the same scene at different times. Accura…
HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video
Hongchi Xia, Chih-Hao Lin, Hao-Yu Hsu +5
Digitizing the physical world into accurate simulation-ready virtual environments offers significant opportunities in a variety of fields such as augmented and virtual reality, gam…
InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling
Xiaoxue Chen, Bhargav Chandaka, Chih-Hao Lin +4
We present InvRGB+L, a novel inverse rendering model that reconstructs large, relightable, and dynamic scenes from a single RGB+LiDAR sequence. Conventional inverse graphics method…
Controllable Weather Synthesis and Removal with Video Diffusion Models
Chih-Hao Lin, Zian Wang, Ruofan Liang +4
Generating realistic and controllable weather effects in videos is valuable for many applications. Physics-based weather simulation requires precise reconstructions that are hard t…