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, 2023).

Research Interest

I am interested in the computer graphics, computer vision, deep learning, neural rendering, 3D/4D generation, view synthesis and inverse rendering.

Publications
  1. RealMat: Realistic Materials with Diffusion and Reinforcement Learning Xilong Zhou, Pedro Figueiredo, Miloš Hašan, Valentin Deschaintre, Paul Guerrero, Yiwei Hu, Nima Khademi Kalantari Preprint 2025
  2. 3DPR: Single Image 3D Portrait Relighting with Generative Priors Pramod Rao, Xilong Zhou, Abhimitra Meka, Gereon Fox, Mallikarjun B R, Fangneng Zhan, Tim Weyrich, Bernd Bickel, Hanspeter Pfister, Wojciech Matusik, Thabo Beeler, Mohamed Elgharib, Marc Habermann, Christian Theobalt SIGGRAPH ASIA 2025
  3. PanoDreamer: Optimization-Based Single Image to 360 3D Scene With Diffusion Avinash Paliwal, Xilong Zhou, Andrii Tsarov, Nima Kalantari SIGGRAPH ASIA 2025
  4. HumanOLAT: A Large-Scale Dataset for Full-Body Human Relighting and Novel-View Synthesis Timo Teufel, Pulkit Gera, Xilong Zhou, Umar Iqbal , Pramod Rao, Jan Kautz, Vladislav Golyanik Christian Theobalt ICCV 2025
  5. RI3D: Few-Shot Gaussian Splatting With Repair and Inpainting Diffusion Priors Avinash Paliwal, Xilong Zhou, Wei Ye, Jinhui Xiong, Rakesh Ranjan, Nima Kalantari ICCV 2025
  6. 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
  7. A Semi-procedural Convolutional Material Prior Xilong Zhou, Miloš Hašan, Valentin Deschaintre, Paul Guerrero, Kalyan Sunkavalli, Nima Khademi Kalantari CGF2023 (Eurographics 2023)
  8. Look-Ahead Training with Learned Reflectance Loss for Single-Image SVBRDF Estimation Xilong Zhou, Nima Khademi Kalantari SIGGRAPH ASIA 2022
  9. TileGen: Tileable, Controllable Material Generation and Capture Xilong Zhou, Miloš Hašan, Valentin Deschaintre, Paul Guerrero, Kalyan Sunkavalli, Nima Khademi Kalantari SIGGRAPH ASIA 2022
  10. Adversarial Single-Image SVBRDF Estimation with Hybrid Training Xilong Zhou, Nima Khademi Kalantari Eurographics 2021
  11. 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
Course Projects
  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.
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
  • 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"