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ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
v1v2v3 (latest)

ShapeLLM: Universal 3D Object Understanding for Embodied Interaction

27 February 2024
Zekun Qi
Runpei Dong
Shaochen Zhang
Haoran Geng
Chunrui Han
Zheng Ge
Li Yi
Kaisheng Ma
ArXiv (abs)PDFHTML

Papers citing "ShapeLLM: Universal 3D Object Understanding for Embodied Interaction"

2 / 102 papers shown
Title
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
167
3,223
0
05 May 2015
Learning Rich Features from RGB-D Images for Object Detection and
  Segmentation
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Saurabh Gupta
Ross B. Girshick
Pablo Arbeláez
Jitendra Malik
ObjD
132
1,561
0
22 Jul 2014
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