Zhiqin Chen

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 37

Top Topics

Binary Space Partitioning

Manifold Learning

Top Venues

ACM Trans. Graph.

IEEE Trans. Image Process.

Publications

Zhiqin Chen, Qimin Chen, Hang Zhou, Hao Zhang
DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation. SIGGRAPH (Conference Paper Track) (2024)
Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson
Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. CoRR (2024)
Zhiqin Chen, Qimin Chen, Hang Zhou, Hao Zhang
DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation. CoRR (2023)
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
Learning Mesh Representations via Binary Space Partitioning Tree Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Zhiqin Chen
A Review of Deep Learning-Powered Mesh Reconstruction Methods. CoRR (2023)
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)
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)
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)
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 (2023)
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)
Zhiqin Chen, Andrea Tagliasacchi, Thomas A. Funkhouser, Hao Zhang
Neural Dual Contouring. CoRR (2022)
Zhiqin Chen, Kangxue Yin, Sanja Fidler
AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis. CVPR (2022)
Zhiqin Chen, Andrea Tagliasacchi, Thomas A. Funkhouser, Hao Zhang
Neural dual contouring. ACM Trans. Graph. 41 (4) (2022)
Zhiqin Chen, Thomas A. Funkhouser, Peter Hedman, Andrea Tagliasacchi
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures. CoRR (2022)
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)
Zhiqin Chen, Kangxue Yin, Sanja Fidler
AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis. CoRR (2022)
Ming-Hui Li, Zhiqin Chen, Li-Lin Rao
Emotion, analytic thinking and susceptibility to misinformation during the COVID-19 outbreak. Comput. Hum. Behav. 133 (2022)
Zhiqin Chen, Hao Zhang
Neural marching cubes. ACM Trans. Graph. 40 (6) (2021)
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
Learning Mesh Representations via Binary Space Partitioning Tree Networks. CoRR (2021)
Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CVPR (2021)
Huili Luo, Zhaoquan Gu, Chunajing Zhang, Le Wang, Shuhao Li, Zhiqin Chen
A Universal Targeted Attack Method against Image Classification. DSC (2021)
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 (2021)
Zhiqin Chen, Hao Zhang
Neural Marching Cubes. CoRR (2021)
Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao Zhang
COALESCE: Component Assembly by Learning to Synthesize Connections. CoRR (2020)
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
BSP-Net: Generating Compact Meshes via Binary Space Partitioning. CVPR (2020)
Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao (Richard) Zhang, Siddhartha Chaudhuri
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CoRR (2020)
Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao (Richard) Zhang
COALESCE: Component Assembly by Learning to Synthesize Connections. 3DV (2020)
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 (2020)
Kangxue Yin, Zhiqin Chen, Hui Huang, Daniel Cohen-Or, Hao Zhang
LOGAN: unpaired shape transform in latent overcomplete space. ACM Trans. Graph. 38 (6) (2019)
Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. CoRR (2019)
Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. ICCV (2019)
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
BSP-Net: Generating Compact Meshes via Binary Space Partitioning. CoRR (2019)
Kangxue Yin, Zhiqin Chen, Hui Huang, Daniel Cohen-Or, Hao (Richard) Zhang
LOGAN: Unpaired Shape Transform in Latent Overcomplete Space. CoRR (2019)
Zhiqin Chen, Hao Zhang
Learning Implicit Fields for Generative Shape Modeling. CVPR (2019)
Zili Yi, Zhiqin Chen, Hao (Richard) Zhang, Xin Huang, Minglun Gong
Branched Generative Adversarial Networks for Multi-Scale Image Manifold Learning. CoRR (2018)
Zhiqin Chen, Hao Zhang
Learning Implicit Fields for Generative Shape Modeling. CoRR (2018)
Zhiqin Chen, Yufeng Zhang, Hesheng Wang, Weidong Chen
Real-time tag recognition based on morphology and local contrast. RCAR (2016)
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)