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Kangxue Yin
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2020 – today
- 2023
- [j9]Tianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, Jun Gao:
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization. ACM Trans. Graph. 42(4): 37:1-37:16 (2023) - [c12]Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler:
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. CVPR 2023: 8496-8506 - [c11]Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin:
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models. ICCV 2023: 4146-4158 - [i16]Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler:
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. CoRR abs/2304.09787 (2023) - [i15]Tianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, Jun Gao:
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization. CoRR abs/2308.05371 (2023) - [i14]Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin:
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models. CoRR abs/2310.13772 (2023) - 2022
- [j8]Yanran Guan, Han Liu, Kun Liu, Kangxue Yin, Ruizhen Hu, Oliver van Kaick, Yan Zhang, Ersin Yumer, Nathan Carr, Radomír Mech, Hao (Richard) Zhang:
FAME: 3D Shape Generation via Functionality-Aware Model Evolution. IEEE Trans. Vis. Comput. Graph. 28(4): 1758-1772 (2022) - [c10]Zhiqin Chen, Kangxue Yin, Sanja Fidler:
AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis. CVPR 2022: 1455-1464 - [c9]Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler:
MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation. ECCV (2) 2022: 550-567 - [c8]Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler:
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. NeurIPS 2022 - [i13]Zhiqin Chen, Kangxue Yin, Sanja Fidler:
AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis. CoRR abs/2204.03105 (2022) - [i12]Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler:
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation. CoRR abs/2208.08580 (2022) - [i11]Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler:
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. CoRR abs/2209.11163 (2022) - 2021
- [c7]Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler:
DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort. CVPR 2021: 10145-10155 - [c6]Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles T. Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, Sanja Fidler:
Neural Geometric Level of Detail: Real-Time Rendering With Implicit 3D Shapes. CVPR 2021: 11358-11367 - [c5]Kangxue Yin, Jun Gao, Maria Shugrina, Sameh Khamis, Sanja Fidler:
3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations. ICCV 2021: 12436-12445 - [c4]Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, Sanja Fidler:
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis. NeurIPS 2021: 6087-6101 - [i10]Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles T. Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, Sanja Fidler:
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes. CoRR abs/2101.10994 (2021) - [i9]Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler:
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort. CoRR abs/2104.06490 (2021) - [i8]Kangxue Yin, Jun Gao, Maria Shugrina, Sameh Khamis, Sanja Fidler:
3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations. CoRR abs/2108.12958 (2021) - [i7]Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, Sanja Fidler:
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis. CoRR abs/2111.04276 (2021) - [i6]Sourav Biswas, Kangxue Yin, Maria Shugrina, Sanja Fidler, Sameh Khamis:
Hierarchical Neural Implicit Pose Network for Animation and Motion Retargeting. CoRR abs/2112.00958 (2021) - 2020
- [c3]Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao (Richard) Zhang:
COALESCE: Component Assembly by Learning to Synthesize Connections. 3DV 2020: 61-70 - [i5]Yanran Guan, Han Liu, Kun Liu, Kangxue Yin, Ruizhen Hu, Oliver van Kaick, Yan Zhang, Ersin Yumer, Nathan Carr, Radomír Mech, Hao Zhang:
3D Shape Generation via Functionality-Aware Model Evolution. CoRR abs/2005.04464 (2020) - [i4]Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao Zhang:
COALESCE: Component Assembly by Learning to Synthesize Connections. CoRR abs/2008.01936 (2020)
2010 – 2019
- 2019
- [j7]Kangxue Yin, Zhiqin Chen, Hui Huang, Daniel Cohen-Or, Hao Zhang:
LOGAN: unpaired shape transform in latent overcomplete space. ACM Trans. Graph. 38(6): 198:1-198:13 (2019) - [j6]Kangxue Yin, Hui Huang, Edmond S. L. Ho, Hao Wang, Taku Komura, Daniel Cohen-Or, Hao Zhang:
A Sampling Approach to Generating Closely Interacting 3D Pose-Pairs from 2D Annotations. IEEE Trans. Vis. Comput. Graph. 25(6): 2217-2227 (2019) - [c2]Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang:
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. ICCV 2019: 8489-8498 - [i3]Kangxue Yin, Zhiqin Chen, Hui Huang, Daniel Cohen-Or, Hao (Richard) Zhang:
LOGAN: Unpaired Shape Transform in Latent Overcomplete Space. CoRR abs/1903.10170 (2019) - [i2]Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang:
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. CoRR abs/1903.11228 (2019) - 2018
- [j5]Kangxue Yin, Hui Huang, Daniel Cohen-Or, Hao (Richard) Zhang:
P2P-NET: bidirectional point displacement net for shape transform. ACM Trans. Graph. 37(4): 152 (2018) - [i1]Kangxue Yin, Hui Huang, Daniel Cohen-Or, Hao (Richard) Zhang:
P2P-NET: Bidirectional Point Displacement Network for Shape Transform. CoRR abs/1803.09263 (2018) - 2016
- [j4]Kangxue Yin, Hui Huang, Pinxin Long, Alexei Gaissinski, Minglun Gong, Andrei Sharf:
Full 3D Plant Reconstruction via Intrusive Acquisition. Comput. Graph. Forum 35(1): 272-284 (2016) - 2015
- [j3]Yang Zhou, Kangxue Yin, Hui Huang, Hao Zhang, Minglun Gong, Daniel Cohen-Or:
Generalized cylinder decomposition. ACM Trans. Graph. 34(6): 171:1-171:14 (2015) - 2014
- [j2]Kangxue Yin, Hui Huang, Hao Zhang, Minglun Gong, Daniel Cohen-Or, Baoquan Chen:
Morfit: interactive surface reconstruction from incomplete point clouds with curve-driven topology and geometry control. ACM Trans. Graph. 33(6): 202:1-202:12 (2014) - 2013
- [j1]Hui Huang, Kangxue Yin, Minglun Gong, Dani Lischinski, Daniel Cohen-Or, Uri M. Ascher, Baoquan Chen:
"Mind the gap": tele-registration for structure-driven image completion. ACM Trans. Graph. 32(6): 174:1-174:10 (2013) - 2011
- [c1]Kangxue Yin, Youquan Liu, Enhua Wu:
Fast Computing Adaptively Sampled Distance Field on GPU. PG (Short Papers) 2011
Coauthor Index
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