Yiwei Hu
Yiwei Hu is a fourth-year Ph.D. candidate in the department of computer science, whose interests are materials and rendering. He is currently working on (inverse) procedural material modeling. He was a Research Intern in Meta Reality Lab and Adobe Research.
Before coming to Yale, He received his bachelor’s degree in the Computer Science Department at Zhejiang University.
2023
2022
“An Inverse Procedural Modeling Pipeline for SVBRDF Maps”, ACM Transactions on Graphics (Presented at SIGGRAPH 2022), vol. 41, no. 2, 2022. Downloads: ipmm_preprint.pdf
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“Node Graph Optimization Using Differentiable Proxies”, in SIGGRAPH 2022, Vancouver, BC, Canada, 2022. Downloads: node_graph_optimization_using_differentiable_proxies.pdf
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“Controlling Material Appearance by Examples”, Computer Graphics Forum (Proc. of Eurographics Symposium on Rendering 2022), vol. 41, no. 4, 2022. Downloads: controlling_material_appearance_by_examples_preprint.pdf
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“Multirate Shading with Piecewise Interpolatory Approximation”, Computer Graphics Forum (Proc. of Pacific Graphics 2022), vol. 41, no. 7, 2022. Downloads: multirate_shading_with_piecewise_interpolatory_approximation.pdf
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2019
“A Novel Framework For Inverse Procedural Texture Modeling”, ACM Transactions on Graphics (Proc. of SIGGRAPH AISA 2019), vol. 38, no. 6, 2019. Downloads: inverse_procedural_texture_modeling_high-res.pdf, inverse_procedural_texture_modeling_low-res.pdf, inverse_procedural_texture_modeling_supp.pdf
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