Yiwei Hu

Yiwei Hu

Research Scientist

Adobe Research


I am a research scientist at Adobe Research. I received my Ph.D. from Yale University, under the supervision by Prof. Holly Rushmeier and Prof. Julie Dorsey. Prior to Yale, I received my bachelor’s degree from Zhejiang University, advised by Prof. Rui Wang.

My research focuses on computer graphics. I am interested in topics about material and rendering such as procedural materials, inverse rendering, generative models etc.

I am open to collaborations and looking for strong Ph.D. students who is interested in Adobe internship program.

  • Computer Graphics
  • Computer Vision
  • Artificial Intelligence
  • PhD in Computer Graphics, 2023

    Yale University

  • BSc in Computer Science, 2018

    Zhejiang University


(2023). Generating Procedural Materials from Text or Image Prompts. SIGGRAPH 2023.

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(2022). Multirate Shading with Piecewise Interpolatory Approximation. Computer Graphics Forum, Proc. of Pacific Graphics (PG 2022).

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(2022). Node Graph Optimization Using Differentiable Proxies. SIGGRAPH 2022.

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(2022). Controlling Material Appearance by Examples. Computer Graphics Forum, Proc. of Eurographics Symposium on Rendering (EGSR 2022).

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(2022). An Inverse Procedural Modeling Pipeline for SVBRDF Maps. ACM Transactions on Graphics (Presented at SIGGRAPH 2022).

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(2019). A Novel Framework for Inverse Procedural Texture Modeling. ACM Transactions on Graphics (SIGGRAPH ASIA 2019).

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(2019). Novel Radiomic Features Based on Graph Theory for PET Image Analysis. IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).