3 papers
cs.CV2025
Direct and Adaptable Mesh-Gaussian Scene Reconstruction from Multi-View Images
Ancheng Lin, Yusheng Xiang, Tianqing Su +5
Jointly recovering explicit surface geometry and high-quality appearance from multi-view images remains challenging. This capability is essential for maintaining high-fidelity real…
cs.CV2025
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…
cs.CV2025
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…