Kaichun Mo

According to our database1, Kaichun Mo authored at least 13 papers between 2016 and 2020.

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Bibliography

2020
DSM-Net: Disentangled Structured Mesh Net for Controllable Generation of Fine Geometry.
CoRR, 2020

Generative 3D Part Assembly via Dynamic Graph Learning.
CoRR, 2020

Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks.
CoRR, 2020

Learning 3D Part Assembly from a Single Image.
CoRR, 2020

PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions.
CoRR, 2020

Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories.
Proceedings of the 8th International Conference on Learning Representations, 2020

SAPIEN: A SimulAted Part-Based Interactive ENvironment.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

StructEdit: Learning Structural Shape Variations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
StructureNet: hierarchical graph networks for 3D shape generation.
ACM Trans. Graph., 2019

PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation.
CoRR, 2018

2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Accelerating Random Kaczmarz Algorithm Based on Clustering Information.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016


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