15 citations · 27 across the 4 of their papers we have counts for
4 papers
Direct and Adaptable Mesh-Gaussian Scene Reconstruction from Multi-View Images
Ancheng Lin, Tianqing Su, Zuo Yuan +3
Jointly recovering explicit surface geometry and high-quality appearance from multi-view images remains challenging. This capability is essential for maintaining high-fidelity real…
Dynamic Appearance Particle Neural Radiance Field
Ancheng Lin, Yusheng Xiang, Jun Li +1
Neural Radiance Fields (NeRFs) have shown great potential in modeling 3D scenes. Dynamic NeRFs extend this model by capturing time-varying elements, typically using deformation fie…
Normal Transformer: Extracting Surface Geometry from LiDAR Points Enhanced by Visual Semantics
Ancheng Lin, Jun Li, Yusheng Xiang +2
High-quality surface normal can help improve geometry estimation in problems faced by autonomous vehicles, such as collision avoidance and occlusion inference. While a considerable…
On Learning and Learned Data Representation by Capsule Networks
Ancheng Lin, Jun Li, Zhenyuan Ma
In this work, we investigate the following: 1) how the routing affects the CapsNet model fitting; 2) how the representation using capsules helps discover global structures in data…