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…
EventTracer: Fast Path Tracing-based Event Stream Rendering
Zhenyang Li, Xiaoyang Bai, Jinfan Lu +3
Simulating event streams from 3D scenes has become a common practice in event-based vision research, as it meets the demand for large-scale, high temporal frequency data without se…
Enhanced Velocity Field Modeling for Gaussian Video Reconstruction
Zhenyang Li, Xiaoyang Bai, Tongchen Zhang +3
High-fidelity 3D video reconstruction is essential for enabling real-time rendering of dynamic scenes with realistic motion in virtual and augmented reality (VR/AR). The deformatio…