Reconstructing models of the real world, including 3D geometry, appearance, and motion of
real scenes, is essential for computer graphics and computer vision. It enables the …

How to represent a seismic wavefield? Traditionally, while seismic wavefields are
conceptualized continuously, acquisition geometries capture seismic data discretely using 2 …

Neural implicit fields have been a de facto standard in novel view synthesis. Recently there
exist some methods exploring fusing multiple modalities within a single field aiming to share …

Although neural radiance fields (NeRFs) have achieved triumphs in image novel view
synthesis (NVS) LiDAR NVS remains largely unexplored. Previous LiDAR NVS methods …

Abstract 3D perception for multi-target in complex traffic environments plays an important
role in autonomous driving. Nowadays, some mainstream models use 2D detectors to …

Point cloud frame interpolation is a challenging task that involves accurate scene flow
estimation across frames and maintaining the geometry structure. Prevailing techniques …

Dynamic 3D point cloud sequences serve as one of the most common and practical
representation modalities of dynamic real-world environments. However, their unstructured …

In the construction industry, a project typically begins with the creation of two-dimensional
(2D) building plans, defining the client's specifications. Using these plans, a digital three …

Neural Scene Flow Prior (NSFP) and Fast Neural Scene Flow (FNSF) have shown
remarkable adaptability in the context of large out-of-distribution autonomous driving …

Point Cloud Interpolation confronts challenges from point sparsity, complex spatiotemporal
dynamics, and the difficulty of deriving complete 3D point clouds from sparse temporal …