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ORCIDZhiqin Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c18]Qimin Chen, Zhiqin Chen
, Vladimir G. Kim, Noam Aigerman, Hao (Richard) Zhang, Siddhartha Chaudhuri:
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement. ECCV (39) 2024: 110-127- [c17]Zhiqin Chen, Qimin Chen, Hang Zhou, Hao Zhang:
DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation. SIGGRAPH (Conference Paper Track) 2024: 82 - [c16]Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson:
Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. SIGGRAPH Asia 2024: 10:1-10:11 - [c15]Xiangyu Zhu, Zhiqin Chen, Ruizhen Hu, Xiaoguang Han:
Controllable Shape Modeling with Neural Generalized Cylinder. SIGGRAPH Asia 2024: 80:1-80:11 - [i19]Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson:
Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. CoRR abs/2406.01592 (2024) - [i18]Qimin Chen, Zhiqin Chen, Vladimir G. Kim, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri:
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement. CoRR abs/2409.06129 (2024) - [i17]Xiangyu Zhu, Zhiqin Chen, Ruizhen Hu, Xiaoguang Han:
Controllable Shape Modeling with Neural Generalized Cylinder. CoRR abs/2410.03675 (2024) - 2023
- [j6]Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang:
Learning Mesh Representations via Binary Space Partitioning Tree Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4870-4881 (2023) - [c14]Zhiqin Chen, Thomas A. Funkhouser, Peter Hedman, Andrea Tagliasacchi:
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures. CVPR 2023: 16569-16578 - [c13]Qimin Chen, Zhiqin Chen, Hang Zhou, Hao Zhang:
ShaDDR: Interactive Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable Rendering. SIGGRAPH Asia 2023: 58:1-58:11 - [c12]Yijia An, Qinglei Bu, Jie Sun, Eng Gee Lim, Lijun Kong, Zhiqin Chen, Roshan Devaraj:
Interactive Rehabilitation Carpet for Children with Cerebral Palsy. TEI 2023: 40:1-40:5 - [i16]Zhiqin Chen:
A Review of Deep Learning-Powered Mesh Reconstruction Methods. CoRR abs/2303.02879 (2023) - [i15]Qimin Chen, Zhiqin Chen, Hang Zhou, Hao Zhang:
ShaDDR: Real-Time Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable Rendering. CoRR abs/2306.04889 (2023) - [i14]Zhiqin Chen, Qimin Chen, Hang Zhou, Hao Zhang:
DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation. CoRR abs/2311.13125 (2023) - 2022
- [j5]Ming-Hui Li, Zhiqin Chen, Li-Lin Rao:
Emotion, analytic thinking and susceptibility to misinformation during the COVID-19 outbreak. Comput. Hum. Behav. 133: 107295 (2022) - [j4]Zhiqin Chen, Andrea Tagliasacchi, Thomas A. Funkhouser, Hao Zhang:
Neural dual contouring. ACM Trans. Graph. 41(4): 104:1-104:13 (2022) - [c11]Zhiqin Chen, Kangxue Yin, Sanja Fidler:
AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis. CVPR 2022: 1455-1464 - [c10]Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang:
CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly. CVPR 2022: 11758-11768 - [c9]Lechen Wu, Eng Gee Lim, Quan Zhang, Alijon Avliyoqulov, Jie Sun, Lijun Kong, Zhiqin Chen:
Interactive Story Box for Children with Cerebral Palsy. EICS (Companion) 2022: 33-36 - [i13]Zhiqin Chen, Andrea Tagliasacchi, Thomas A. Funkhouser, Hao Zhang:
Neural Dual Contouring. CoRR abs/2202.01999 (2022) - [i12]Zhiqin Chen, Kangxue Yin, Sanja Fidler:
AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis. CoRR abs/2204.03105 (2022) - [i11]Zhiqin Chen, Thomas A. Funkhouser, Peter Hedman, Andrea Tagliasacchi:
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures. CoRR abs/2208.00277 (2022) - 2021
- [j3]Zhiqin Chen, Hao Zhang:
Neural marching cubes. ACM Trans. Graph. 40(6): 251:1-251:15 (2021) - [c8]Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri:
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CVPR 2021: 15740-15749 - [c7]Huili Luo, Zhaoquan Gu, Chunajing Zhang, Le Wang, Shuhao Li, Zhiqin Chen:
A Universal Targeted Attack Method against Image Classification. DSC 2021: 179-186 - [i10]Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang:
CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly. CoRR abs/2104.05652 (2021) - [i9]Zhiqin Chen, Hao Zhang:
Neural Marching Cubes. CoRR abs/2106.11272 (2021) - [i8]Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang:
Learning Mesh Representations via Binary Space Partitioning Tree Networks. CoRR abs/2106.14274 (2021) - 2020
- [j2]Zili Yi, Zhiqin Chen, Hao Cai, Wendong Mao, Minglun Gong, Hao (Richard) Zhang:
BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image Synthesis. IEEE Trans. Image Process. 29: 9073-9083 (2020) - [c6]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 - [c5]Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang:
BSP-Net: Generating Compact Meshes via Binary Space Partitioning. CVPR 2020: 42-51 - [i7]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) - [i6]Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao (Richard) Zhang, Siddhartha Chaudhuri:
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CoRR abs/2012.09159 (2020)
2010 – 2019
- 2019
- [j1]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) - [c4]Zhiqin Chen, Hao Zhang:
Learning Implicit Fields for Generative Shape Modeling. CVPR 2019: 5939-5948 - [c3]Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang:
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. ICCV 2019: 8489-8498 - [i5]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) - [i4]Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang:
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. CoRR abs/1903.11228 (2019) - [i3]Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang:
BSP-Net: Generating Compact Meshes via Binary Space Partitioning. CoRR abs/1911.06971 (2019) - 2018
- [i2]Zili Yi, Zhiqin Chen, Hao (Richard) Zhang, Xin Huang, Minglun Gong:
Branched Generative Adversarial Networks for Multi-Scale Image Manifold Learning. CoRR abs/1803.08467 (2018) - [i1]Zhiqin Chen, Hao Zhang:
Learning Implicit Fields for Generative Shape Modeling. CoRR abs/1812.02822 (2018) - 2016
- [c2]Zhiqin Chen, Yufeng Zhang, Hesheng Wang, Weidong Chen:
Real-time tag recognition based on morphology and local contrast. RCAR 2016: 614-619
2000 – 2009
- 2008
- [c1]Mohamed H. Abu-Rahma, Kinshuk Chowdhury, Joseph Wang, Zhiqin Chen, Sei Seung Yoon, Mohab Anis:
A methodology for statistical estimation of read access yield in SRAMs. DAC 2008: 205-210
Coauthor Index
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