Media Summary: Authors: Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu Description: SAUM: Symmetry-Aware Upsampling Module for Consistent In this work, we propose a new sequential

Point Cloud Completion By Skip Attention Network With Hierarchical Folding - Detailed Analysis & Overview

Authors: Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu Description: SAUM: Symmetry-Aware Upsampling Module for Consistent In this work, we propose a new sequential ICAR2022 [ paper ] [ code ] to be released soon In this paper we present ... Authors: Xu Yan, Chaoda Zheng, Zhen Li, Sheng Wang, Shuguang Cui Description: Raw 8 min video introduction for our CVPR 2023 work (1 min Quickview + 7 min details). Project Page: ...

The spotlight video for GRNet (Xie et al., ECCV 2020). More information: Authors: Ehsan Nezhadarya, Ehsan Taghavi, Ryan Razani, Bingbing Liu, Jun Luo Description: Deterministic down-sampling of an ... We introduce a new way of organizing the extracted features from the Asiagraphics Web Seminar (AG Webinar) See more about Asiagraphics via: ... S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Cloud Published on Transactions on Pattern Analysis and Machine Intelligence (TPAMI). More details at the project page: ...

A novel approach aimed at object and semantic scene

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Point Cloud Completion by Skip-Attention Network With Hierarchical Folding
CVPR 2020: "Cascaded Refinement Network for Point Cloud Completion"
SAUM: Symmetry-Aware Upsampling Module for Consistent Point Cloud Completion
Sequential Point Cloud Upsampling by Exploiting Multi-scale Temporal Dependency
Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based Model
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling
Hyperspherical Embedding for Point Cloud Completion
GRNet: Gridding Residual Network for Dense Point Cloud Completion
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification
Jianmin Zheng -- 3D Shape Parsing from Point Clouds
[CVPR 2023 - Highlight] Attention-based Point Cloud Edge Sampling
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Point Cloud Completion by Skip-Attention Network With Hierarchical Folding

Point Cloud Completion by Skip-Attention Network With Hierarchical Folding

Authors: Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu Description:

CVPR 2020: "Cascaded Refinement Network for Point Cloud Completion"

CVPR 2020: "Cascaded Refinement Network for Point Cloud Completion"

Paper: https://arxiv.org/abs/2004.03327 Source code: https://github.com/xiaogangw/cascaded-

SAUM: Symmetry-Aware Upsampling Module for Consistent Point Cloud Completion

SAUM: Symmetry-Aware Upsampling Module for Consistent Point Cloud Completion

SAUM: Symmetry-Aware Upsampling Module for Consistent

Sequential Point Cloud Upsampling by Exploiting Multi-scale Temporal Dependency

Sequential Point Cloud Upsampling by Exploiting Multi-scale Temporal Dependency

In this work, we propose a new sequential

Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based Model

Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based Model

ICAR2022 #RALetters #SACNN [ paper ] https://arxiv.org/abs/2202.06407 [ code ] to be released soon In this paper we present ...

PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling

PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling

Authors: Xu Yan, Chaoda Zheng, Zhen Li, Sheng Wang, Shuguang Cui Description: Raw

Hyperspherical Embedding for Point Cloud Completion

Hyperspherical Embedding for Point Cloud Completion

8 min video introduction for our CVPR 2023 work (1 min Quickview + 7 min details). Project Page: ...

GRNet: Gridding Residual Network for Dense Point Cloud Completion

GRNet: Gridding Residual Network for Dense Point Cloud Completion

The spotlight video for GRNet (Xie et al., ECCV 2020). More information: https://haozhexie.com/project/grnet.

Adaptive Hierarchical Down-Sampling for Point Cloud Classification

Adaptive Hierarchical Down-Sampling for Point Cloud Classification

Authors: Ehsan Nezhadarya, Ehsan Taghavi, Ryan Razani, Bingbing Liu, Jun Luo Description: Deterministic down-sampling of an ...

SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification

SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification

We introduce a new way of organizing the extracted features from the

Jianmin Zheng -- 3D Shape Parsing from Point Clouds

Jianmin Zheng -- 3D Shape Parsing from Point Clouds

Asiagraphics Web Seminar (AG Webinar) http://www.asiagraphics.org/webinar See more about Asiagraphics via: ...

[CVPR 2023 - Highlight] Attention-based Point Cloud Edge Sampling

[CVPR 2023 - Highlight] Attention-based Point Cloud Edge Sampling

Attention

FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds

FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds

Recent deep

S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Cloud

S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Cloud

S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Cloud

Spatial Transformer for 3D Point Clouds

Spatial Transformer for 3D Point Clouds

Published on Transactions on Pattern Analysis and Machine Intelligence (TPAMI). More details at the project page: ...

Learning Local Displacements for Point Cloud Completion

Learning Local Displacements for Point Cloud Completion

A novel approach aimed at object and semantic scene

RSS 2020': LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices

RSS 2020': LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices

LatticeNet: Fast

FoldingNet

FoldingNet

FoldingNet: