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12/20/2022
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency
Masked Modeling (MM) has demonstrated widespread success in various visi...
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07/12/2022
CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm
Point cloud completion aims to predict complete shape from its partial o...
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01/20/2022
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning
Self-supervised learning has not been fully explored for point cloud ana...
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12/22/2021
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results
As real-scanned point clouds are mostly partial due to occlusions and vi...
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03/18/2021
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud
This paper investigates the indistinguishable points (difficult to predi...
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12/20/2020
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud
In 2D image processing, some attempts decompose images into high and low...
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12/23/2019
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
In spite of the recent progresses on classifying 3D point cloud with dee...
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03/30/2018
