This is the official implementation of the paper "Representing 3D Shapes with 64 Latent Vectors for 3D Diffusion Models" (ICCV 2025). Our code is tested on Python 3.9, torch 2.1.0, and CUDA 12.2. We ...

Abstract: This paper presents a new text-guided 3D shape generation approach DreamStone that uses images as a stepping stone to bridge the gap between the text and shape modalities for generating 3D ...

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: Recovering the 3D motion of the heart from cine cardiac magnetic resonance (CMR) imaging enables the assessment of regional myocardial function and is important for understanding and ...

Because it's costly and cumbersome to transport large structures such as satellite dishes into space, aerospace Ph.D. student Ivan Wu and his advisor, Jeff Baur, at The Grainger College of Engineering ...