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Scan2Part: Fine-grained and Hierarchical Part-level Understanding of
  Real-World 3D Scans

Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans

6 June 2022
A. Notchenko
Vladislav Ishimtsev
Alexey Artemov
V. Selyutin
Emil Bogomolov
Evgeny Burnaev
    3DPC
    3DV
ArXivPDFHTML

Papers citing "Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans"

5 / 5 papers shown
Title
PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View
  Instance Segmentation and Maximum Likelihood Estimation
PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation
Yuchen Zhou
Jiayuan Gu
Xuanlin Li
Minghua Liu
Yunhao Fang
Hao Su
VLM
21
17
0
05 Dec 2023
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained
  Image-Language Models
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
Minghua Liu
Yinhao Zhu
H. Cai
Shizhong Han
Z. Ling
Fatih Porikli
Hao Su
3DPC
27
68
0
03 Dec 2022
Image Generation from Scene Graphs
Image Generation from Scene Graphs
Justin Johnson
Agrim Gupta
Li Fei-Fei
GNN
221
815
0
04 Apr 2018
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni
S. Sax
Amir Zamir
Silvio Savarese
3DV
3DPC
113
875
0
03 Feb 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,087
0
02 Dec 2016
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