IEEE

Situationally-Aware Path Planning Exploiting 3D Scene Graphs

Abstract: 3D Scene Graphs integrate both metric and semantic information, yet their structure remains underexploited for improving path planning efficiency and interpretability. In this work, we ...
IEEE

Compression Framework for Light 3D Scene Graph Generation via Pruning-As-Search and Distillation

Abstract: 3D scene graph generation (3DSGG), which involves classifying objects and predicates, is an emerging topic in 3D scene understanding. Recent studies leveraging graph neural networks (GNNs) ...
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 ...
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 ...