Abstract: In this paper, we study the problem of 3D object segmentation from raw point clouds. Unlike existing methods which usually require a large amount of human annotations for full supervision, ...

This project offers the Canonical Objaverse Dataset, created using the methods outlined in the paper "One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency." Additionally, ...

SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...

Abstract: Monocular three-dimensional (3D) scene understanding tasks, e.g., object size angle and 3D position, estimation are challenging to perform. More successful current methods usually require ...