Jun Gao
I am a Ph.D. candidate at the
University of Toronto, advised by Prof. Sanja
Fidler, and I am affiliated with the Vector
Institute. I am also a research scientist at NVIDIA.
My research lies at the intersection of 3D computer vision and computer
graphics. I am interested in developing 3D generative AI models to create realistic,
high-quality and diverse 3D content for reconstructing, generating and simulating lifelike 3D worlds.
I am on the academic job market this year.
Email  / 
CV  / 
Google Scholar
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Twitter  / 
Github  /  Pro
Bono
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Pro Bono: I decide to commit 1-2 hours per week to
host pro bono office hours and provide guidance and mentorship for students, especially
people from underrepresented groups. Please check here for more
details.
Dec. 2023: Our paper received the Best Paper Award at SIGRAPH Aisa 2023.
Oct. 2023: I gave a guest lecture at USC and KAIST.
Aug. 2023: One paper is accepted to SIGGRAPH Asia 2023.
May 2023: I will server as an Area Chair for NeurIPS 2023.
Apr. 2023: I gave talks at PKU, THU, MSRA, and CUHK (Shenzhen) on Machine
Learning for 3D Content Creation.
Apr. 2023: One paper is accepted to SIGGRAPH 2023.
Mar. 2023: Two papers are accepted to CVPR 2023.
Mar. 2023: Invited talk at ETH, Oxford, JHU, and UofT.
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Publications
 
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My research contributes to 3D generative AI by bridging 3D representations from computer
graphics with 3D computer vision, and learning to exploit structures from 2D and 3D data.
The representations and algorithms I developed are instrumental in the realization of
real-world products, including text-to-3D generation at NVIDIA Picasso and 2D image
annotation at Toronto Annotation
Suite. My research has also been featured at NVIDIA GTC, including image-to-3D generation
at GANVerse3D,
and 3D asset harvesting at Neural
DriveSim.
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Area Chair: NeurIPS 2023
Conference Reviewer: CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, SIGGRAPH, SIGGRAPH Asia
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Mentored Students/Interns
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Tianchang Shen (PhD, CS UofT) Working on
differentiable isosurfacing methods.
Weiwei Sun (PhD, CS UBC) Working on 3D generative
models.
Zian Wang (PhD, CS UofT) Working on
lighting decomposition with differentiable renderers.
Jinchen Xuan (Undergrad, CS PKU) Working on geometric image representation.
Gary Leung (MSc, CS UofT) Working on Transformer for images.
Yuxuan Zhang (Undergrad, CS UWaterloo) Working on single image 3D reconstruction.
Yinan Zhang (Undergrad, CS UWaterloo) Working on single image 3D reconstruction.
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Pro Bono Office Hours
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As a fifth-year PhD student, I always see the information asymmetry between junior
students and senior students on problems related to research
topics/directions, future career, failure and excitement in research. This
problem is more severe for people from underrepresented group.
Following Krishna, Wei-Chiu and Shangzhe, I decide to commit 1-2 hours per week
(mostly on Sunday) to host pro bono office hours and provide guidance, suggestions or
mentorship, please fill this form if you are interested.
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I borrowed the template from ✩, ✩,✩,✩.
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