Zian Wang

I'm a research scientist at NVIDIA. My research focuses around inverse rendering, neural reconstruction, and generative models, with the goal of creating photorealistic, high-quality, and controllable virtual environments.

I'm also a PhD candidate at University of Toronto and Vector Institute. My advisor is Sanja Fidler. Before coming to Toronto, I did my bachelor at Tsinghua University, advised by Yebin Liu. I started my research journey at Intelligent Vision Group, advised by Jiwen Lu and Jie Zhou.

Email / Google Scholar / LinkedIn / Twitter

Research

	DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models Ruofan Liang, Zan Gojcic, Huan Ling, Jacob Munkberg, Jon Hasselgren, Zhi-Hao Lin, Jun Gao, Alexander Keller, Nandita Vijaykumar, Sanja Fidler, Zian Wang** CVPR, 2025 project page / pdf / demo video / supp video / twitter thread / bibtex
	Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar, Sanja Fidler, Zian Wang ECCV, 2024 project page / pdf / bibtex
	Adaptive Shells for Efficient Neural Radiance Field Rendering Zian Wang, Tianchang Shen, Merlin Nimier-David, Nicholas Sharp, Jun Gao, Alexander Keller, Sanja Fidler, Thomas Müller, Zan Gojcic ACM Transactions on Graphics (SIGGRAPH Asia), 2023* (Best Paper Award) project page / arxiv / pdf / supp / twitter thread / bibtex
	Neural LiDAR Fields for Novel View Synthesis Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany ICCV, 2023 project page / pdf / bibtex / tech blog
	Flexible Isosurface Extraction for Gradient-Based Mesh Optimization Tianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, Jun Gao ACM Transactions on Graphics (SIGGRAPH), 2023 project page / pdf / supp / acm / bibtex
	Neural Fields meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes Zian Wang, Tianchang Shen, Jun Gao, Shengyu Huang, Jacob Munkberg, Jon Hasselgren, Zan Gojcic, Wenzheng Chen, Sanja Fidler CVPR, 2023 project page / pdf / video / bibtex Combined with other NVIDIA technology, FEGR is one component of Neural Reconstruction Engine announced in GTC Sept 2022 Keynote.
	GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler NeurIPS, 2022 (Spotlight) project page / pdf / code / bibtex / two-minute papers
	Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler ECCV, 2022 project page / pdf / video / bibtex
	DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler NeurIPS, 2021 project page / pdf / bibtex
	Learning Indoor Inverse Rendering with 3D Spatially-Varying Lighting Zian Wang, Jonah Philion, Sanja Fidler, Jan Kautz ICCV, 2021 (Oral) project page / pdf / video / bibtex
	Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid Jun Gao, Zian Wang, Jinchen Xuan, Sanja Fidler ECCV, 2020 project page / pdf / presentation video (short, long) / bibtex
	Object Instance Annotation with Deep Extreme Level Set Evolution Zian Wang, David Acuna, Huan Ling, Amlan Kar, Sanja Fidler CVPR, 2019 project page / pdf / code / poster / bibtex Please visit this page for code. For research purpose signed up with an academic email, the code is automatically sent within minutes. Feel free to contact me if any issue occurs.
	Learning Semantics-Preserving Attention and Contextual Interaction for Group Activity Recognition Yansong Tang, Jiwen Lu, Zian Wang, Ming Yang, Jie Zhou IEEE Transaction on Image Processing (TIP), 2019 pdf / supp
	Mining Semantics-Preserving Attention for Group Activity Recognition Yansong Tang, Zian Wang, Peiyang Li, Jiwen Lu, Ming Yang, Jie Zhou ACM Multimedia, 2018 (Oral) pdf / slides
	Multi-stream Deep Neural Networks for RGB-D Egocentric Action Recognition Yansong Tang, Zian Wang, Jiwen Lu, Jianjiang Feng, Jie Zhou IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018 pdf / supp / dataset

Academic Services

Conference Reviewer: ICCV, CVPR, ECCV, NeurIPS

Teaching Assistant, CSC 420: Introduction to Image Understanding 19 Fall, 20 Summer, 20 Fall

Teaching Assistant, CSC 320: Introduction to Visual Computing 19-20 Winter

Awards

Outstanding Reviewer Award, ECCV 2024

Best Paper Award, SIGGRAPH Asia 2023

SenseTime Undergraduate Scholarship, 2018

National Scholarship, 2017

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