Mapping 3D-super-enhancers with machine learning to pinpoint regulators of cell identity

Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...
IEEE

Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-Labeling

Abstract: Learning to build 3D scene graphs is essential for real-world perception in a structured and rich fashion. However, previous 3D scene graph generation methods utilize a fully supervised ...
IEEE

A Discrete Index Graph Diffusion Model for 3D Meshes Synthesis

Abstract: The generation of 3D meshes is critical in numerous applications, evidenced by the growing popularity and attention towards interactive generative models. Although diffusion models currently ...
GitHub

Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism

This repository contains the PyTorch implementation of the paper "Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism", R.Subedi*, L.Wei*, W.Gao*, S.Chakraborty, Y.Liu.
GitHub

$AG^2aussian$: Anchor-Graph Structured Gaussian Splatting for Instance-Level 3D Scene Understanding and Editing

The installation of AG2aussian is similar to 3D Gaussian Splatting. Our default, provided install method is based on Conda package and environment management: conda create -n ag2seg python=3.11 conda ...