Despite more than three decades of economic reforms, smuggling remains one of the country’s most persistent, expensive, and shadow components of the growing economy. Government disclosures indicate ...
In Proceedings of the SIGGRAPH Asia 2025 Conference Papers, a research team affiliated with UNIST reports a new AI technology that can animate 3D characters to mimic the exact movements shown in a ...
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) ...
Transferring and Refining Visual-Semantic Priors Via Graph-Enhanced CLIP for 3D Hand Pose Estimation
Abstract: 3D hand pose estimation is crucial for many human-computer interaction applications. However, existing deep neural networks (DNNs) for 3D hand pose estimation suffer from poor ...
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 ...
This repository contains the code for the SCRSSG project. Our code is tested with Pytorch 2.5.0 and CUDA 11.8 on Ubuntu 20.04. # setup git clone https://github.com ...
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