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Kangxue Yin
Kangxue Yin
Research Scientist at NVIDIA
Verified email at nvidia.com - Homepage
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Cited by
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Year
Neural geometric level of detail: Real-time rendering with implicit 3D shapes
T Takikawa, J Litalien, K Yin, K Kreis, C Loop, D Nowrouzezahrai, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1702021
Datasetgan: Efficient labeled data factory with minimal human effort
Y Zhang, H Ling, J Gao, K Yin, JF Lafleche, A Barriuso, A Torralba, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1332021
Bae-net: Branched autoencoder for shape co-segmentation
Z Chen, K Yin, M Fisher, S Chaudhuri, H Zhang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1072019
P2P-NET: bidirectional point displacement net for shape transform
K Yin, H Huang, D Cohen-Or, H Zhang
ACM Transactions on Graphics (TOG) 37 (4), 152, 2018
712018
Generalized cylinder decomposition.
Y Zhou, K Yin, H Huang, H Zhang, M Gong, D Cohen-Or
ACM Trans. Graph. 34 (6), 171:1-171:14, 2015
702015
Morfit: interactive surface reconstruction from incomplete point clouds with curve-driven topology and geometry control.
K Yin, H Huang, H Zhang, M Gong, D Cohen-Or, B Chen
ACM Trans. Graph. 33 (6), 202:1-202:12, 2014
682014
Full 3D plant reconstruction via intrusive acquisition
K Yin, H Huang, P Long, A Gaissinski, M Gong, A Sharf
Computer Graphics Forum 35 (1), 272-284, 2016
462016
Deep marching tetrahedra: a hybrid representation for high-resolution 3d shape synthesis
T Shen, J Gao, K Yin, MY Liu, S Fidler
Advances in Neural Information Processing Systems 34, 6087-6101, 2021
352021
LOGAN: Unpaired shape transform in latent overcomplete space
K Yin, Z Chen, H Huang, D Cohen-Or, H Zhang
ACM Transactions on Graphics (TOG) 38 (6), 1-13, 2019
352019
" Mind the gap": tele-registration for structure-driven image completion.
H Huang, K Yin, M Gong, D Lischinski, D Cohen-Or, UM Ascher, B Chen
ACM Trans. Graph. 32 (6), 174:1-174:10, 2013
352013
Get3d: A generative model of high quality 3d textured shapes learned from images
J Gao, T Shen, Z Wang, W Chen, K Yin, D Li, O Litany, Z Gojcic, S Fidler
Advances In Neural Information Processing Systems, 2022
342022
3dstylenet: Creating 3d shapes with geometric and texture style variations
K Yin, J Gao, M Shugrina, S Khamis, S Fidler
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
232021
Coalesce: Component assembly by learning to synthesize connections
K Yin, Z Chen, S Chaudhuri, M Fisher, VG Kim, H Zhang
2020 International Conference on 3D Vision (3DV), 61-70, 2020
232020
FAME: 3d shape generation via functionality-aware model evolution
Y Guan, H Liu, K Liu, K Yin, R Hu, O van Kaick, Y Zhang, E Yumer, N Carr, ...
IEEE Transactions on Visualization and Computer Graphics 28 (4), 1758-1772, 2020
11*2020
A sampling approach to generating closely interacting 3d pose-pairs from 2d annotations
K Yin, H Huang, ESL Ho, H Wang, T Komura, D Cohen-Or, H Zhang
IEEE transactions on visualization and computer graphics 25 (6), 2217-2227, 2018
72018
Hierarchical Neural Implicit Pose Network for Animation and Motion Retargeting
S Biswas, K Yin, M Shugrina, S Fidler, S Khamis
arXiv preprint arXiv:2112.00958, 2021
22021
Auv-net: Learning aligned uv maps for texture transfer and synthesis
Z Chen, K Yin, S Fidler
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
12022
TRANSFERRING GEOMETRIC AND TEXTURE STYLES IN 3D ASSET RENDERING USING NEURAL NETWORKS
K Yin, J Gao, M Shugrina, S Khamis, S Fidler
US Patent App. 17/467,792, 2023
2023
Synthesizing high resolution 3d shapes from lower resolution representations for synthetic data generation systems and applications
T Shen, J Gao, K Yin, MY Liu, S Fidler
US Patent App. 17/718,172, 2022
2022
MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation
G Sharma, K Yin, S Maji, E Kalogerakis, O Litany, S Fidler
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
2022
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