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.
2025
, “Generating 360 Video is What You Need For a 3D Scene”, in SA '25: SIGGRAPH Asia 2025 Conference Papers, 2025. Downloads:
_final_worldprompter_arxiv.pdf
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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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(read important copyright information before downloading)
, “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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