Jun Gao

I am currently a senior research scientist at NVIDIA. I will join the University of Michigan in the EECS department as an assistant professor in Fall 2025. I received my Ph.D. from the University of Toronto, advised by Prof. Sanja Fidler.

My research stays at the intersection of 3D computer vision, computer graphics and generative models. I am interested in developing controllable generative AI models to create photorealitic, diverse and interactive virtual environments.

Prospective students: I am actively looking for motivated and talented students! If you are interested in joining my group, please read this.

Email  /  CV  /  Google Scholar  /  Twitter  /  Github  /  Pro Bono

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News
  • 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.
  • June 2025: Two papers are accepted to ICCV 2025.
  • Mar. 2025: Three papers are accepted to CVPR 2025. Two Orals and one Highlight.
  • Mar. 2025: I will serve as an Area Chair for NeurIPS 2025.
  • Jul. 2024: One paper is accepted to SIGGRAPH Asia 2024.
  • Jul. 2024: One paper is accepted to ECCV 2024.
  • May 2024: I will serve as an Area Chair for 3DV 2025.
  • May 2024: I will serve as an Area Chair for NeurIPS 2024.
  • Mar. 2024: I will serve on the program committee for SIGGRAPH Asia 2024.
  • Jan. 2024: One paper is accepted to ICLR 2024.
  • Dec. 2023: Our paper received the Best Paper Award at SIGRAPH Aisa 2023.


  • Publications   (show selected / show by date)

    My research contributes to 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.



    Professional Service
    Program Committee: SIGGRAPH Asia 2024.

    Area Chair: NeurIPS 2023-2025. 3DV 2025.

    Conference Reviewer: CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, SIGGRAPH, SIGGRAPH Asia.


    Employment
    Research scientist at NVIDIA Dec. 2019 - Present

    Research intern at NVIDIA Oct. 2018 - Dec. 2019

    Research intern at Microsoft Research, Asia Sep. 2017 - Jun. 2018


    Mentored Students/Interns
    Xuanchi Ren (PhD, CS UofT) Working on 3D scene generation.

    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.


    Pro Bono Office Hours
    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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