This is the official PyTorch implementation of the paper DDet3D: Embracing 3D Object Detector with Diffusion, by Gopi Krishna Erabati and Helder Araujo. Existing approaches rely on heuristic or ...

Abstract: For designing a wide range of everyday objects, the design process should be aware of both the human body and the underlying semantics of the design specification. However, these two ...

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, ...

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 ...