Kangxue Yin

Research Scientist,
NVIDIA, Toronto, Canada

kangxue.yin [at] gmail [dot] com

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I am a research scientist at NVIDIA working on computer vision and graphics in the Toronto AI lab led by Prof. Sanja Fidler. I am especially interested in research problems related to 3D content creation. Feel free to drop me an email if you are interested in doing an internship with us.

Before joining NVIDIA, I received my Ph.D. degree in the year 2020 from Simon Fraser University where I worked in the GrUVi lab under the supervision of Prof. Hao (Richard) Zhang. I also worked with Prof. Hui Huang and Prof. Daniel Cohen-Or who were on my supervisory committee as well. Before joining SFU in the year 2015, I worked at Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS). I received my B.Eng. degree from Chang'an University in the year 2012.


Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes.
Towaki Takikawa*, Joey Litalien*, Kangxue Yin, Karsten Kreis, Charles Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, Sanja Fidler
CVPR 2021 (oral)
[paper][project page]
DatasetGAN: Efficient labeled data factory with minimal human effort.
Yuxuan Zhang*, Huan Ling*, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler
CVPR 2021 (oral)
[paper][project page]
COALESCE: Component Assembly by Learning to Synthesize Connections.
Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir Kim, Hao Zhang.
3DV 2020 (oral)
[paper][video][data and code]
FAME: 3D Shape Generation via Functionality-Aware Model Evolution.
Yanran Guan, Han Liu, Kun Liu, Kangxue Yin, Ruizhen Hu, Oliver van Kaick, Yan Zhang, Ersin Yumer, Nathan Carr, Radomir Mech, and Hao Zhang.
IEEE Transactions on Visualization and Computer Graphics(TVCG), 2020.
Learning Shape-to-Shape Transformation.
Kangxue Yin
SFU Ph.D. Thesis, May 2020, PDF
(A summary of my work on learning shape transform)
LOGAN: Unpaired Shape Transform in Latent Overcomplete Space.
Kangxue Yin, Zhiqin Chen, Hui Huang, Daniel Cohen-Or, Hao Zhang.
ACM Transactions on Graphics 38(6)(Special Issue of SIGGRAPH ASIA 2019 ).
[paper] [supp.] [slides] [project page] [data] [code]
[selected by SIGGRAPH ASIA 2019 as one of six papers featured for press release]
BAE-NET: Branched Autoencoder for Shape Co-Segmentation.
Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang.
Proc. of ICCV 2019
[paper][supp.][data + code]
P2P-NET: Bidirectional Point Displacement Net for Shape Transform.
Kangxue Yin, Hui Huang, Daniel Cohen-Or, Hao Zhang.
ACM Transactions on Graphics 37(4)(Special Issue of SIGGRAPH 2018 )
[paper][project page][slides][fast-forward][data(hdf5)][data(raw)][code]
A Sampling Approach to Generating Closely Interacting 3D Pose-pairs from 2D Annotations.
Kangxue Yin, Hui Huang, Edmond S. L. Ho, Hao Wang, Taku Komura, Daniel Cohen-Or, Hao Zhang.
IEEE Transactions on Visualization and Computer Graphics(TVCG), 2018.
Full 3D Plant Reconstruction via Intrusive Acquisition.
Kangxue Yin, Hui Huang, Pinxin Long, Alex Gaissinski, Minglun Gong, Andrei Sharf.
Computer Graphics Forum 35(1), 2016.
[paper][project page][data]

Generalized Cylinder Decomposition.
Yang Zhou, Kangxue Yin, Hui Huang, Hao Zhang, Minglun Gong, Daniel Cohen-Or.
ACM Transactions on Graphics 34(6)(Special Issue of SIGGRAPH ASIA 2015 ).
[paper][video][code + data + page]

Morfit: Interactive Surface Reconstruction from Incomplete Point Clouds with Curve-Driven Topology and Geometry Control.
Kangxue Yin, Hui Huang, Hao Zhang, Minglun Gong, Daniel Cohen-or, Baoquan Chen.
ACM Transactions on Graphics 33(6)(Special Issue of SIGGRAPH ASIA 2014 ).
[paper][project page][video][slides][code + data]
"Mind the Gap": Tele-Registration for Structure-Driven Image Completion.
Hui Huang, Kangxue Yin, Minglun Gong, Dani Lischinski, Daniel Cohen-Or, Uri Ascher, Baoquan Chen.
ACM Transactions on Graphics 32(6)(Special Issue of SIGGRAPH ASIA 2013 ).
[paper][slides][core code + data]