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Abstract: Reconstruction of 3D human poses has been a key area of research with applications in various fields, such as animation, healthcare, and sports analysis. It typically consists of two steps.

Abstract: Multimodal 3D object detection significantly enhances perception by fusing LiDAR point clouds and RGB images. However, existing methods often fail to adaptively estimate modality confidence ...

In this paper, we present VoxT-GNN, an innovative framework that harnesses the strengths of both Transformer and Graph Neural Network architectures for 3D object detection from LiDAR point clouds.

在三维重建不断走向工程化的今天，前馈式3D Gaussian Splatting（Feed-Forward 3DGS）正火速走向产业化。 然而，现有的前馈3DGS方法主要采用“像素对齐”（pixel-aligned）策略——即将每个2D像素单独映射到一个或多个3D高斯上。 这一做法看似直观，但仍面临两道不可忽视 ...