3 papers
cs.CV2025
E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization
Wenpu Li, Bangyan Liao, Yi Zhou +3
The estimation of optical flow and 6-DoF ego-motion, two fundamental tasks in 3D vision, has typically been addressed independently. For neuromorphic vision (e.g., event cameras),…
cs.CV2025
SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment
Qi Xu, Dongxu Wei, Lingzhe Zhao +4
Simultaneous understanding and 3D reconstruction plays an important role in developing end-to-end embodied intelligent systems. To achieve this, recent approaches resort to 2D-to-3…
cs.CV2025
Casual3DHDR: Deblurring High Dynamic Range 3D Gaussian Splatting from Casually Captured Videos
Shucheng Gong, Lingzhe Zhao, Wenpu Li +4
Photo-realistic novel view synthesis from multi-view images, such as neural radiance field (NeRF) and 3D Gaussian Splatting (3DGS), has gained significant attention for its superio…