5 papers
E-WAVE: Event-based Continuous Optical Flow via Warping-Aligned Visual Encoding
Jiale Wu, Xiaoyang Bai, Haoming Yu +3
Temporally dense optical flow is essential for dynamic perception in immersive VR/AR systems, where rapid head, hand, and object motion must be continuously captured and tracked. E…
ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints
Xiaoyang Bai, Zhenyang Li, Weiwei Xu +2
Deep learning-driven representations such as neural radiance fields (NeRFs) and 3D Gaussian splatting (3DGS) have revolutionized the field of dynamic 3D scene reconstruction with i…
PhyGaP: Physically-Grounded Gaussians with Polarization Cues
Jiale Wu, Xiaoyang Bai, Zongqi He +2
Recent advances in 3D Gaussian Splatting (3DGS) have demonstrated great success in modeling reflective 3D objects and their interaction with the environment via deferred rendering…
MatMart: Material Reconstruction of 3D Objects via Diffusion
Xiuchao Wu, Pengfei Zhu, Jiangjing Lyu +5
Applying diffusion models to physically-based material estimation and generation has recently gained prominence. In this paper, we propose \ttt, a novel material reconstruction fra…
StableIntrinsic: Detail-preserving One-step Diffusion Model for Multi-view Material Estimation
Xiuchao Wu, Pengfei Zhu, Jiangjing Lyu +5
Recovering material information from images has been extensively studied in computer graphics and vision. Recent works in material estimation leverage diffusion model showing promi…