Abstract: 3D Object Reconstruction from a single-view 2D image has become a promising research field. However, it remains a crucial and unsolved core issue in AI and Computer Vision research. Many ...
A neural field network can create a continuous 3D model from a limited number of 2D images, and it does it without being trained on other samples. Researchers from the McKelvey School of Engineering ...
Abstract: Understanding 3D medical image volumes is critical in the medical field, yet existing 3D medical convolution and transformer-based self-supervised learning (SSL) methods often lack deep ...
Researchers at NVIDIA have come up with a clever machine learning technique for taking 2D images and fleshing them out into 3D models. Normally this happens in reverse—these days, it's not all that ...