Libing Zeng (曾立兵)

   

I am a final-year PhD candidate, supervised by Dr. Nima Khademi Kalantari, in Computer Science and Engineering department at Texas A&M University. I was a research intern at Netflix Eyeline Studios (Scanline VFX) (2024), OPPO US Research Center (2022). I have had the privilege of working closely with Dr. Li-Yi Wei and Dr. Paul Debevec during my academic journey. I earned my bachelor's degree in Electronic Information Engineering from Hunan University where I worked with Dr. Shaoyuan Wang.

My current research focuses on deep learning for computer graphics and vision, particularly in neural rendering, 3D vision, and generative models for Facial Image Editing. My goal is to bridge artistic creativity with technical precision, advancing realistic, controllable, and personalized solutions in digital human technologies, and beyond.

I have been actively seeking opportunities in both industry and academia since March 2025.
If you know of a good fit, please feel free to contact me.

         
News
  • [10/2024] One first-authored paper accepted to WACV 2025.
  • [01/2024] Incoming research intern collaborating with Dr. Paul Debevec at Eyeline Studios - Powered by Netflix.
  • [08/2023] One first-authored paper conditionally accepted to SIGGRAPH Asia 2023.
  • [07/2023] One co-authored paper accepted to ICCV 2023.
  • [02/2023] One first-authored paper accepted to CVPR 2023.
  • [12/2022] One first-authored paper accepted to CGF 2023 (Eurographics 2023).
  • [05/2021] One co-authored paper accepted to ICCP 2021.
Publications
  1. Diffusion Model for Stereo Generation XXXX, Libing Zeng, ... In Submission
  2. Diffusion and 3DGS for Reaging Libing Zeng, ... In Submission
  3. Analyzing and Improving the Skin Tone Consistency and Bias in Implicit 3D Relightable Face Generators Libing Zeng, Nima Khademi Kalantari. The IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025)
    [Abstract] [Paper] [Project]
  4. MyStyle++: A Controllable Personalized Generative Prior Libing Zeng, Lele Chen, Yi Xu, Nima Khademi Kalantari. SIGGRAPH Asia 2023
    [Abstract] [Paper] [Project]
  5. Uncertainty-aware State Space Transformer for Egocentric 3D Trajectory Forecasting Wentao Bao, Lele Chen, Libing Zeng, Zhong Li, Yi Xu, Junsong Yuan, Yu Kong. The International Conference on Computer Vision (ICCV 2023)
    [Abstract] [Paper] [Project]
  6. 3D-aware Facial Landmark Detection via Multiview Consistent Training on Synthetic Data Libing Zeng, Lele Chen, Wentao Bao, Zhong Li, Yi Xu, Junsong Yuan, Nima Khademi Kalantari. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2023)
    [Abstract] [Paper] [Project]
  7. Test-Time Optimization for Video Depth Estimation Using Pseudo Reference Depth Libing Zeng, Nima Khademi Kalantari. Computer Graphics Forum (CGF 2023) (Proceedings of Eurographics 2023)
    [Abstract] [Paper] [Project]
  8. Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient Mask Avinash Paliwal, Libing Zeng, Nima Khademi Kalantari. International Conference on Computational Photography (ICCP 2021)
    [Abstract] [Paper] [Project] [ICCP Talk]
  9. Rectifying Proposal Failures in Metropolis Light Transport Libing Zeng, Li-Yi Wei. Preprint (HAL 2019)
    [Abstract] [Paper] [Code_pbrt] [Code_tungsten]
Projects (Prior to Ph.D.)
  1. A Renderer Written from the Scratch (BART Animations with High-Frequency Textures) Supervised by Dr. Li-Yi Wei. Exercises
    [Abstract] [Project] [Animation_robot] [Animation_kitchen] [Animation_museum]
  2. A Renderer Extended from the Book, Ray Tracing from the Ground Up Self-study Exercises
    [Abstract] [Project]
  3. A Renderer with Implementations of Various NON-TRIANGULATE Surfaces Self-study Exercises
    [Abstract] [Project]
Teaching
Community Services
Awards