GitHub

DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation

This repository contains code release for our CVPR 2025 paper "DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation". conda create -n di-pcg ...
GitHub

MoDiff - Graph Generation with Motif-Aware Diffusion Model

The subgraphs for training are preprocessed with motif detection and stored in different files in this code. We provide StackOverflow as an example. The 1h scale can be used directly, while the 5h and ...
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How to build a 3D solar system simulation with Python

Learn how to build a 3D solar system simulation using Python! This tutorial guides you through coding planetary motion, visualizing orbits, and creating an interactive model of our solar system.
IEEE

Learning Developmental Age From 3D Infant Kinetics Using Adaptive Graph Neural Networks

Abstract: Reliable methods for the neurodevelopmental assessment of infants are essential for early detection of problems that may need prompt interventions. Spontaneous motor activity, or ‘kinetics’, ...
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 ...