This repository contains an official implementation for SAGNet: Structure-aware Generative Network for 3D-Shape Modeling. This model takes voxel maps as geometry and bounding boxes as structure and ...

Abstract: Sketch-based 3D shape retrieval (SBSR) has been a challenging task for decades, crucially depending on aligning shared semantic attributes between sketches and 3D shapes. Previous efforts ...

Abstract: 3D shapes captured by scanning devices are often incomplete due to occlusion. 3D shape completion methods have been explored to tackle this limitation. However, most of these methods are ...

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 ...