Xilong Zhou
zhouxilong199213 (at) tamu.edu

I am a third year PhD student in Aggie Graphics Group at Texas A&M University. I am advised by Dr. Ergun Akleman and meanwhile working closely with Dr. Nima Kalantari. Before this, I spent one and a half year in the Visualization department and recieved my M.S in the Petroleum Engineering department at Texas A&M University in 2016. I received my bachelor degree in China Univerity of Petroleum Beijing in 2014.

Research Interest

I am interested in the application of deep learning technique in computer graphics, especially in material appearance modeling and rendering. Currently I am working on the estimation of SVBRDF from multiple input images.

  1. Adversarial Single-Image SVBRDF Estimation with Hybrid Training Xilong Zhou and Nima Khademi Kalantari Eurographics 2021 In this project, we propose a conditional GAN framework for estimating SVBRDF from a single input image. More specifically, we use generator with encoder-decoder architecture and five discriminators. Meanwhile, we implement a hybrid training strategy to train network on both synthetic and real images to mitigate the gap between synthetic and real dataset. We demonstrate that our approach is able to handle a variety of cases better than the state-of-the-art methods
  2. Enhanced adsorption of anionic surfactants on negatively charged quartz sand grains treated with cationic polyelectrolyte complex nanoparticles Xilong Zhou, Jenn-Tai Liang, Corbin D. Andersen, Jiajia Cai and Ying-Ying Lin Colloids and Surfaces A: Physicochemical and Engineering Aspects, September 2018
Course Project
  1. Computational Photography Course Projects inclulde image alignment based on SSD metric, image blending, seam carving, HDR tone mapping and image matting.
  2. Image Synthesis & Computer Graphics Ray Tracer was written to realize photorealistic rendering, spcial effects (Texture Mapping, Color Bleeding, Reflection/Refraction, DOF, Translucency, motion blur, etc.) and Mipmap texturing with anisotropic filter. BRDF Rendering, radiosity algorithm and volume rendering were implemented as well.
  3. Physically Based Simulation Physically based simulation project includes: Kd-tree implemented particle system, flocking system, rigid body, spring structure and fluid simulation.
Teaching Assistant

PETE 612: Unconventional Oil and Gas: Fall 2015
PETE 312: Formation Evaluation: Spring 2016
VIST 271/270: Computer for Visualization: Spring 2017, Summer 2017
CSCE 222: Discrete Structure for Computing: Fall 2018, Fall 2019
CSCE 221: Data Structure and Algorithm: Spring 2019
CSCE 441: Analysis of Algorithm: Summer 2019
CSCE 421: Machine Learning: Fall 2020


  • National First Prize of National Petroleum Engineering Design Competition (China), 2013
  • Honorable Mention of Mathematical Contest in Modeling (United States),2013
  • National Second Prize of National Mathematics Modeling Contest (China),2013
  • Hobbies

    I am crazy about working out and I used to go to gym six times a week. I also like painting, saxphone and movies. Here is a short animation I made from scratch using Maya, "Pokeman Go Go Ghost"