Libing Zeng

   

Howdy!

I am a fourth-year Ph.D. student, supervised by Dr. Nima Khademi Kalantari, in Computer Science and Engineering department at Texas A&M University. My research interests are using deep learning techniques to solve various problems in computer graphics and computer vision, such as controllable image generation, consistent 3D reconstruction, novel view synthesis, and video denoising.

Previously, I worked on light transport simulation problems under the supervision of Dr. Li-Yi Wei.

Prior to that, I got my bachelor degree in Electronic Information Engineering from Hunan University where I worked with Dr. Shaoyuan Wang.

Here is my        
PAPERS
  1. 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]
  2. 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]
  3. 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]
  4. 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
OPEN SOURCE
COMPUTER SKILLS
ACKNOWLEDGEMENTS