2 citations · 2 across the 9 of their papers we have counts for
5 papers · 1 filter
Robust Single-shot Structured Light 3D Imaging via Neural Feature Decoding
Jiaheng Li, Qiyu Dai, Lihan Li +4
We consider the problem of active 3D imaging using single-shot structured light systems, which are widely employed in commercial 3D sensing devices such as Apple Face ID and Intel…
From Orbit to Ground: Generative City Photogrammetry from Extreme Off-Nadir Satellite Images
Fei Yu, Yu Liu, Luyang Tang +10
City-scale 3D reconstruction from satellite imagery presents the challenge of extreme viewpoint extrapolation, where our goal is to synthesize ground-level novel views from sparse…
PointCNN++: Performant Convolution on Native Points
Lihan Li, Haofeng Zhong, Rui Bu +4
Existing convolutional learning methods for 3D point cloud data are divided into two paradigms: point-based methods that preserve geometric precision but often face performance cha…
The Less You Depend, The More You Learn: Synthesizing Novel Views from Sparse, Unposed Images with Minimal 3D Knowledge
Haoru Wang, Kai Ye, Minghan Qin +3
Recent advances in feed-forward Novel View Synthesis (NVS) have led to a divergence between two design philosophies: bias-driven methods, which rely on explicit 3D knowledge, such…
RainyGS: Efficient Rain Synthesis with Physically-Based Gaussian Splatting
Qiyu Dai, Xingyu Ni, Qianfan Shen +3
We consider the problem of adding dynamic rain effects to in-the-wild scenes in a physically-correct manner. Recent advances in scene modeling have made significant progress, with…