GitHub

[ICME2025] From 2D images to 3D model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion

For 3090: We recommend CUDA 11.1 & Python v3.8.10 & Pytorch 1.9.0 conda create -n dfnet python=3.8.10 source activate dfnet conda install -c conda-forge cudatoolkit=11.1 cudnn=8.1.0 conda install -c ...
IEEE

2D-3D Feature Co-Embedding Network with Sparse Annotation for 3D Medical Image Segmentation

Abstract: Supervised methods on 3D medical image segmentation need large amounts of annotated data, but annotating is time-consuming. Also, existing 3D segmentation methods capture more global ...
Machine Design

How AI and Software-Defined Design are Making Digital Twins More Accessible

Siemens PAVE360 Automotive, a cloud-based digital twin platform, offers automakers a jump-start in adopting software-defined vehicle (SDV) technology. AI's ability to model and respond to user needs ...
Frontiers

Deep learning software and revised 2D model to segment bone in micro-CT scans

In a previous study, we demonstrated the utility of 2D and 3D convolutional neural networks as implemented in the commercial software Avizo 3D for distinguishing bone and medullary pores in long bones ...