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Zhiqin ChenResearch Scientist, Adobe Research, Seattlezchen@adobe.com Google Scholar GitHubI am a research scientist at Adobe based in Seattle. I received my PhD and Master's degree from Simon Fraser University, supervised by Prof. Hao (Richard) Zhang, and obtained my Bachelor's degree from Shanghai Jiao Tong University. I have won the best student paper award at CVPR 2020 and best paper award candidate at CVPR 2023. I was an NVIDIA graduate fellowship finalist and received Google PhD Fellowship in 2021. I have also won Alain Fournier Dissertation Award and Eurographics PhD Thesis Award in 2024. My research interest is in computer graphics with a specialty in geometric modeling, machine learning, 3D reconstruction, and shape synthesis. |
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Publications |
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2024 |
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Controllable Shape Modeling with Neural Generalized Cylinder
Xiangyu Zhu, Zhiqin Chen, Ruizhen Hu, Xiaoguang Han SIGGRAPH Asia 2024 (conference) [ArXiv] |
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Text-guided Controllable Mesh Refinement for Interactive 3D Modeling
Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson SIGGRAPH Asia 2024 (conference) [ArXiv] |
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DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement
Qimin Chen, Zhiqin Chen, Vladimir G. Kim, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri ECCV 2024 [ArXiv] [Project page] [GitHub] |
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DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation
Zhiqin Chen, Qimin Chen, Hang Zhou, Hao Zhang SIGGRAPH 2024 (conference) [ArXiv] [GitHub] |
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2023 |
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ShaDDR: Real-Time Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable Rendering
Qimin Chen, Zhiqin Chen, Hang Zhou, Hao Zhang SIGGRAPH Asia 2023 (conference) [ArXiv] [GitHub] |
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Neural Mesh Reconstruction
Zhiqin Chen PhD thesis, Simon Fraser University, 2023 [PDF] |
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A Review of Deep Learning-Powered Mesh Reconstruction Methods
Zhiqin Chen PhD depth report [ArXiv] |
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MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
Zhiqin Chen, Thomas Funkhouser, Peter Hedman, Andrea Tagliasacchi CVPR 2023 Best Paper Award Candidate [ArXiv] [GitHub] [Project page] [Video] |
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2022 |
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Neural Dual Contouring
Zhiqin Chen, Andrea Tagliasacchi, Thomas Funkhouser, Hao Zhang SIGGRAPH 2022 (journal) [ArXiv] [GitHub] [Video] |
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AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis
Zhiqin Chen, Kangxue Yin, Sanja Fidler CVPR 2022 [ArXiv] [Project page] [Video] |
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CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly
Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang CVPR 2022 [ArXiv] [GitHub] [Project page] [Video] |
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2021 |
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Neural Marching Cubes
Zhiqin Chen, Hao Zhang SIGGRAPH Asia 2021 (journal) [ArXiv] [GitHub] [Video] |
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DECOR-GAN: 3D Shape Detailization by Conditional Refinement
Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri CVPR 2021 (oral) [ArXiv] [GitHub] [Video] [GUI demo] |
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Learning Mesh Representations via Binary Space Partitioning Tree Networks
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) [ArXiv] [GitHub] |
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2020 |
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COALESCE: Component Assembly by Learning to Synthesize Connections
Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao Zhang 3DV 2020 (oral) [ArXiv] [GitHub] [Video] |
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BSP-Net: Generating Compact Meshes via Binary Space Partitioning
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang CVPR 2020 Best Student Paper Award [ArXiv] [GitHub] [Video] [Project page] |
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2019 |
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LOGAN: Unpaired Shape Transform in Latent Overcomplete Space
Kangxue Yin, Zhiqin Chen, Hui Huang, Daniel Cohen-Or, Hao Zhang SIGGRAPH Asia 2019 [ArXiv] [GitHub] |
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BAE-NET: Branched Autoencoder for Shape Co-Segmentation
Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang ICCV 2019 [ArXiv] [GitHub] |
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Learning Implicit Fields for Generative Shape Modeling
Zhiqin Chen, Hao Zhang CVPR 2019 [ArXiv] [GitHub] |
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BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image Synthesis
Zili Yi, Zhiqin Chen, Hao Cai, Wendong Mao, Minglun Gong, Hao Zhang IEEE Transactions on Image Processing (TIP) [ArXiv] [GitHub] |
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Awards and honorsPresenting Project Turntable at Adobe MAX Sneaks, 2024Governor General’s Gold Convocation Medal, 2024 Alain Fournier Dissertation Award, 2024 Eurographics PhD Thesis Award, 2024 Best Paper Award Candidate, CVPR 2023 Google PhD Fellowship, 2021,2022 NVIDIA Graduate Fellowship Finalist, 2021 Best Student Paper Award, CVPR 2020 |
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Working experienceAdobe Internship, May - Nov, 2020NVIDIA Internship, May - Nov, 2021 Google Student Researcher, Nov 2021 - Jul 2022 Adobe Research Scientist, Aug 2023 - Now |
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ReviewerSIGGRAPH 2022, 2023, 2024SIGGRAPH Asia 2020, 2022, 2023, 2024 TOG 2020, 2023 CVPR 2020, 2021, 2022, 2023, 2024 ICCV 2021, 2023 IJCAI 2021, 2022, 2023 WACV 2021 IJCV 2021 3DV 2021 TVCG 2021, 2022 EG 2022, 2024 PG 2019, 2020 TIP 2022 NeurIPS 2023 TPAMI 2024 |
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