Xilong Zhou CV [Feb. 2024]
xzhou (at) mpi-inf (dot) mpg (dot) de

I am a postdoctoral researcher at Max Planck Institute for Informatics, working with Dr. Christian Theobalt. I finished Ph.D. in the Computer Science and Engineering department at Texas A&M University under the supervision of Dr. Ergun Akleman and Dr. Nima Kalantari. Before this, I recieved my M.S in the Petroleum Engineering department at Texas A&M University. I am fortunate to have spent great time interning at Adobe Research (2021,2022,2024) and Meta Reality Lab (2022).
Link to User Study_1

Research Interest Research Statement [Feb. 2024]

I am interested in the computer graphics, computer vision, deep learning, neural rendering, 3D generation/reconstruction and inverse rendering.

Publications
  1. PhotoMat: A Material Generator Learned from Single Flash Photos Xilong Zhou, Miloš Hašan, Valentin Deschaintre, Paul Guerrero, Yannick Hold-Geoffroy, Kalyan Sunkavalli and Nima Khademi Kalantari SIGGRAPH 2023
    [PDF] [Paper Page]
  2. A Semi-procedural Convolutional Material Prior Xilong Zhou, Miloš Hašan, Valentin Deschaintre, Paul Guerrero, Kalyan Sunkavalli and Nima Khademi Kalantari CGF2023 (Eurographics 2023)
    [PDF] [Paper Page]
  3. Look-Ahead Training with Learned Reflectance Loss for Single-Image SVBRDF Estimation Xilong Zhou, Nima Khademi Kalantari SIGGRAPH ASIA 2022
    [PDF] [Paper Page]
  4. TileGen: Tileable, Controllable Material Generation and Capture Xilong Zhou, Miloš Hašan, Valentin Deschaintre, Paul Guerrero, Kalyan Sunkavalli and Nima Khademi Kalantari SIGGRAPH ASIA 2022
    [PDF] [Paper Page]
  5. Adversarial Single-Image SVBRDF Estimation with Hybrid Training Xilong Zhou, Nima Khademi Kalantari Eurographics 2021
    [PDF] [Paper Page]
  6. 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, Ying-Ying Lin Colloids and Surfaces A: Physicochemical and Engineering Aspects, September 2018
    [PDF]
Course Projects
  1. Computational Photography Course Projects inclulde image alignment based on SSD metric, image blending, seam carving, HDR tone mapping and image matting.
    [Project]
  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.
    [Motion Blur and Texture/Bump Mapping] [Refraction with changing IOR] [Painted Camera]
  3. Physically Based Simulation Physically based simulation project includes: Kd-tree implemented particle system, flocking system, rigid body, spring structure and fluid simulation.
    [FireWork Simulation] [Particle Collision] [A School of Fish] [Rigid Body]
Academic Service

Reviewer: SIGGRAPH 23', SIGGRAPH ASIA 23', Pacific Graphics 23', CGF, Eurographics 24'

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 110: Programming: Spring 2021
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, Fall 2021
CSCE 421: Machine Learning: Fall 2020, Spring 2022

Awards

  • 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

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    Hobbies

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