Peng-Shuai Wang

Orcid: 0000-0001-9700-8188

Affiliations:

Peking University, Institute of Computer Technology, Beijing, China
Microsoft Research Asia, Beijing, China (former)
Tsinghua University, Institute for Advanced Study, Beijing, China (former, PhD 2018)

According to our database¹, Peng-Shuai Wang authored at least 24 papers between 2015 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian.

[BibT_eX]

[DOI]

ACM Trans. Graph., December, 2023

Learning the Geodesic Embedding with Graph Neural Networks.

[BibT_eX]

[DOI]

ACM Trans. Graph., December, 2023

Locally Attentional SDF Diffusion for Controllable 3D Shape Generation.

[BibT_eX]

[DOI]

ACM Trans. Graph., August, 2023

OctFormer: Octree-based Transformers for 3D Point Clouds.

[BibT_eX]

[DOI]

Peng-Shuai Wang

ACM Trans. Graph., August, 2023

Semi-supervised 3D shape segmentation with multilevel consistency and part substitution.

[BibT_eX]

[DOI]

Comput. Vis. Media, 2023

Point Transformer V3: Simpler, Faster, Stronger.

[BibT_eX]

[DOI]

CoRR, 2023

Visual-Guided Mesh Repair.

[BibT_eX]

[DOI]

CoRR, 2023

Locally Attentional SDF Diffusion for Controllable 3D Shape Generation.

[BibT_eX]

[DOI]

CoRR, 2023

3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining.

[BibT_eX]

[DOI]

CoRR, 2023

Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding.

[BibT_eX]

[DOI]

CoRR, 2023

SinMPI: Novel View Synthesis from a Single Image with Expanded Multiplane Images.

[BibT_eX]

[DOI]

Guo Pu

Peng-Shuai Wang

Zhouhui Lian

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Dual octree graph networks for learning adaptive volumetric shape representations.

[BibT_eX]

[DOI]

Peng-Shuai Wang

Yang Liu

Xin Tong

ACM Trans. Graph., 2022

Randomized Quantization for Data Agnostic Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2022

2021

Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks.

[BibT_eX]

[DOI]

Yu-Qi Yang

Peng-Shuai Wang

Yang Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Implicit Moving Least-Squares Functions for 3D Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion.

[BibT_eX]

[DOI]

Peng-Shuai Wang

Yang Liu

Xin Tong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Adaptive O-CNN: a patch-based deep representation of 3D shapes.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2018

2017

O-CNN: octree-based convolutional neural networks for 3D shape analysis.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2017

2016

Mesh denoising via cascaded normal regression.

[BibT_eX]

[DOI]

Peng-Shuai Wang

Yang Liu

Xin Tong

ACM Trans. Graph., 2016

2015

Rolling guidance normal filter for geometric processing.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2015

Peng-Shuai Wang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...