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I'm an associate researcher in the School of Software, Shandong University. My research focuses on Computer Graphics and Computer Vision. Specifically, I'm interested in 3D content creation and understanding of objects and scenes. My recent works involve object reconstruction from X (single-view image, point clouds) and scene generation from X (random vector, text). Our goal is to learn high-level understanding information and utilize it in 3D object and scene modeling. Before my current position, I was a postdoc working with Prof. Hao (Richard) Zhang in GrUVi Lab at Simon Fraser University, Canada. I was also a intern research scientist in Intelligent Project Solutions Inc. working on Layout digitalization and editing projects. I got my Ph.D degree on December 2018 from Shandong University, supervised by Prof. Changhe Tu. During my Ph.D career, I have visited and collaborated closely with Prof. Hao (Richard) Zhang (supported by China Scholarship Council (CSC)), Prof. Daniel Cohen-Or, Prof. Wenping Wang, Prof. Falai Chen. |
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Learning-based 2D Irregular Shape Packing,
Zeshi Yang, Zherong Pan, Manyi Li, Kui Wu, Xifeng Gao, ACM Transactions on Graphics (Proceedings of SIGGRAPH AISA 2023), 2023 project page / paper |
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AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand Pose,
Juntao Jian, Xiuping Liu, Manyi Li*, Ruizhen Hu, Jian Liu*, ICCV 2023 project page / paper |
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Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes,
Akshay Gadi Patil, Supriya Gadi Patil, Manyi Li*, Matthew Fisher, Manolis Savva, Hao Zhang, Computer Graphics Forum 2023 project page / paper |
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Laplacian2Mesh: Laplacian-Based Mesh Understanding,
Qiujie Dong, Zixiong Wang, Manyi Li, Junjie Gao, Shuangmin Chen, Zhenyu Shu, Shiqing Xin, Changhe Tu, Wenping Wang, CVM 2023. Recommended to TVCG. project page / paper |
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Let’s All Dance: Enhancing Amateur Dance Motions,
Qiu Zhou#, Manyi Li#, Qiong Zeng, Andreas Aristidou, Xiaojing Zhang, Lin Chen, Changhe Tu, CVMJ 2023 project page / paper |
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RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures,
Chengjie Niu, Manyi Li, Kai Xu, Hao Zhang, CVPR 2022 project page / paper |
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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 project page / paper |
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D^2IM-Net: Learning Detail Disentangled Implicit Fields from Single Images,
Manyi Li and Hao Zhang, CVPR, 2021 project page / paper |
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LayoutGMN: Neural Graph Matching for Structural Layout Similarity,
Akshay Gadi Patil, Manyi Li*, Matthew Fisher, Manolis Savva, Hao Zhang, CVPR, 2021 project page / paper |
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GRAINS: Generative Recursive Autoencoders for INdoor Scenes,
Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao Zhang, Transactions on Graphics (Special Issue of SIGGRAPH 2019) project page / paper |
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Language-Driven Synthesis of 3D Scenes Using Scene Databases,
Rui Ma# Akshay Gadi Patil#, Matthew Fisher, Manyi Li, Sören Pirk, Binh-Son Hua, Sai-Kit Yeung, Xin Tong, Leonidas Guibas, Hao Zhang, SIGGRAPH-Asia, Tokyo, 2018 project page / paper |
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Class-Sensitive Shape Dissimilarity Metric,
Manyi Li, Noa Fish, Lili Cheng, Changhe Tu, Daniel Cohen-Or, Hao Zhang, Baoquan Chen Graphical Models, 2018 |
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Sparse RBF surface representations,
Manyi Li, Falai Chen, Wenping Wang, Changhe Tu Computer Aided Geometric Design, 2016 |
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