IEEE

Multi-granularity Superpoint Graph Learning for Weakly Supervised 3D Semantic Segmentation

Abstract: Weakly supervised 3D semantic segmentation has proven effective in alleviating the heavy dependence on dense annotations by generating high-quality pseudo-labels. However, due to the scene ...
IEEE

3D Whole-Body Pose Estimation Using Graph High-Resolution Network for Humanoid Robot Teleoperation

Abstract: In the realm of robotics, teleoperation plays a pivotal role in performing high-risk or intricate tasks, and obtaining precise 3D whole-body pose is crucial for this purpose. Traditional two ...
GitHub

Semantically Consistent Discrete Diffusion for 3D Biological Graph Generation

This repository contains the official code for our MICCAI 2025 paper, “Semantically Consistent Discrete Diffusion for 3D Biological Graph Generation.” We introduce a discrete diffusion framework that ...
GitHub

A Dataset and code of Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning

Paper: Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning The MFCAD (Machining Feature CAD) dataset is a comprehensive collection of 3D CAD models with labeled ...