To address these limitations, we propose Flow4D, which temporally fuses multiple point clouds after the 3D intra-voxel feature encoder, enabling more explicit extraction of spatio-temporal features ...

This project is a DL model that performs 3D shape (voxelization) generation. It takes text prompts and produces 3D shapes. The model is implemented using supervised learning and has been tested on ...

Arby's just launched a new Surf & Turf deal that will have fans lining up at the door. For just $6.99, guests can pick two sandwiches—one meat-based, one fish based—and get the best of both worlds at ...

This repo contains the official PyTorch implementation for paper Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding. Look here for 中文解读. conda create -n TSP3D python=3.9 conda activate ...

We validate this method by replicating results obtained with standard whole-brain voxel-wise linear correlation matrices in two datasets. In the first one (n = 71), we study the changes in node ...