Xingchang Huang

[ Github ] [ Google Scholar ] [ Linkedin ] [ Twitter ]

About

I am currently a Ph.D. student at Max Planck Institute for Informatics, advised by Gurprit Singh and Hans-Peter Seidel. Previously, I did my master at ETH Zurich, where I have worked with Byungsoo Kim, Guillaume Cordonnier and Barbara Solenthaler. I did my bachelor at Sun Yat-sen University, advised by Yanghui Rao and Ming Li.

My research focus on machine learning for efficient & controllable graphics content generation and editing (EG/CGF'22, EGSR/CGF'22, SIGGRAPH/ToG'23, SIGGRAPH'24,).

I am looking for an internship on diffusion models (few-step diffusion/fine-tuning/controllable generation), starting from late 2024 or early 2025.


News


Academic experience

  • 07/2024: Presentation "Blue noise for diffusion models" @ SIGGRAPH 2024 in Denver.
  • 05/2024: Invited demo @ CYENS Centre of Excellence / Eurographics 2024 in Cyprus.
  • 04/2024: Presentation @ Saarbrücken Research Center for Visual Computing, Interaction and AI (VIA).
  • 08/2023: Presentation "Patternshop: Editing Point Patterns by Image Manipulation" @ SIGGRAPH 2023 in Los Angeles.
  • 07/2022: Presentation "Point-Pattern Synthesis using Gabor and Random Filters" @ EGSR 2022 in Prague.
  • 06/2022: Invited talk "Discovering point-pattern structure for synthesis and editing" @ GeoVISTA in Paris.
  • 05/2024: Reviewer @ SIGGRAPH Asia 2024.
  • 10/2023: Reviewer @ Eurographics 2024.
  • 09/2020: Intern @ Max Planck Institute for informatics Sampling and Rendering group.
  • 06/2016: Intern @ SYSU-CMU Joint Institute of Engineering.


  • Publications

    Blue noise for diffusion models

    Xingchang Huang, Corentin Salaün, Cristina Vasconcelos, Christian Theobalt, Cengiz Öztireli, Gurprit Singh

    SIGGRAPH (Conference Proceedings), 2024

    [Project webpage] [Graphics replicability stamp]

    Patternshop: Editing Point Patterns by Image Manipulation

    Xingchang Huang, Tobias Ritschel, Hans-Peter Seidel, Pooran Memari, Gurprit Singh

    SIGGRAPH (ACM Transactions on Graphics), 2023

    [Project webpage]

    Point-Pattern Synthesis using Gabor and Random Filters

    Xingchang Huang, Pooran Memari, Hans-Peter Seidel, Gurprit Singh

    Eurographics Symposium on Rendering (Computer Graphics Forum), 2022

    [Project webpage]

    Deep Reconstruction of 3D Smoke Densities from Artist Sketches

    Byungsoo Kim, Xingchang Huang, Laura Wuelfroth, Jingwei Tang, Guillaume Cordonnier, Markus Gross, Barbara Solenthaler

    Eurographics (Computer Graphics Forum), 2022

    [Project webpage]

    Sketch-Based 4D Prototyping for Smoke Simulations

    Master Thesis at ETH Zurich, 2020

    [Paper]

    Continual learning of a mixed sequence of similar and dissimilar tasks

    Zixuan Ke, Bing Liu, Xingchang Huang

    Advances in Neural Information Processing Systems (NeurIPS), 2020

    [Paper] [Supplemental] [Code]

    Facial Expression Recognition with Identity and Emotion Joint Learning

    Ming Li, Hao Xu, Xingchang Huang, Zhanmei Song, Xiaolin Liu, Xin Li

    IEEE Transactions on Affective Computing (TAC), 2018

    [Paper] [Code]

    Cross-Domain Sentiment Classification via Topic-Related TrAdaBoost

    Xingchang Huang, Yanghui Rao, Haoran Xie, Tak-Lam Wong, Fu Lee Wang

    AAAI Conference on Artificial Intelligence (AAAI poster), 2017

     


    Projects

    Interactive image generation

    [tba] [simple-consistency-models]



    Point/noise/texture pattern synthesis

    [point pattern] [multiclass disk pattern] [neural texture] [non-stationary texture]



    Extension of Nori2 ray tracer (at ETH Zurich)

    [Course webpage] [Report]



    Real-Time High Quality Rendering (online by Prof. Lingqi Yan)

    [Course webpage] [Demos: pcss, ssdgi, rtrt, bluenoise, SH]