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Must-try 3D AI platform (Meshy 5 tutorial)

Sponsored by Meshy. Unlock the fastest path from idea to 3D model with Meshy AI 5! In this Blue Lighting tutorial, we walk you through creating stunning, professional-quality 3D objects in just a few ...
IEEE

3D Pose Prediction: Unsupervised Adversarial Network With Human Geometric Constraint

Abstract: 2D human pose extraction has been completed by multiple frameworks, such as [1], [2], [3], [5], [6], [7], [8], [9], [1]0,[1][1] and other detectors. In this ...
Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
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 ...
GitHub

ViPE: Video Pose Engine for Geometric 3D Perception

TL;DR: ViPE is a useful open-source spatial AI tool for annotating camera poses and dense depth maps from raw videos! Contributors: NVIDIA (Spatial Intelligence Lab, Dynamic Vision Lab, NVIDIA Issac, ...
GitHub

[MICCAI 2025] Code release for CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI

This codebase is developed based on [1][2]. matplotlib: 3.7.2 For a detailed version, please refer to: environment.yaml. We use Matlab for converting the preprocessed ...