most citedMiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024★ 1 cited

MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors

Yuan Tang, Xu Han, Xianzhi Li +4

Large 2D vision-language models (2D-LLMs) have gained significant attention by bridging Large Language Models (LLMs) with images using a simple projector. Inspired by their success…

cs.CV2022

CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion

Jinfeng Xu, Xianzhi Li, Yuan Tang +4

Semantic scene completion (SSC) aims to complete a partial 3D scene and predict its semantics simultaneously. Most existing works adopt the voxel representations, thus suffering fr…