Abstract: Inspired by Active Learning and 2D-3D semantic fusion, we proposed a novel framework for 3D scene semantic segmentation based on rendered 2D images, which could efficiently achieve semantic ...
3D image reconstruction from a limited number of 2D images has been a long-standing challenge in computer vision and image analysis. While deep learning-based approaches have achieved impressive ...
Abstract: Panoramic segmentation of 3D point clouds is an essential and challenging technology for robots with 3D detection and measurement capabilities. In order to fuse the color information of 2D ...
What if creating high-quality 3D models no longer required expensive software, specialized hardware, or years of expertise? Enter Meta’s SAM 3D, an open source AI tool that promises to provide ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback