Ling-Qi Yan
Most Recent Affiliation(s):
- University of California, Santa Barbara, Assistant Professor
Location:
- Santa Barbara, California, United States of America
Learning Category: Jury Member:
Award(s):
Learning Category: Presentation(s):
Type: [Technical Papers]
A Realistic Surface-based Cloth Rendering Model Presenter(s): [Zhu] [Jarabo] [Aliaga] [Yan] [Chiang]
[SIGGRAPH 2023]
Type: [Technical Papers]
Neural Biplane Representation for BTF Rendering and Acquisition Presenter(s): [Fan] [Wang] [Hasan] [Yang] [Yan]
[SIGGRAPH 2023]
Type: [Technical Papers]
Neural Prefiltering for Correlation-aware Levels of Detail Presenter(s): [Weier] [Zirr] [Kaplanyan] [Yan] [Slusallek]
[SIGGRAPH 2023]
Type: [Technical Papers]
SpongeCake: A Layered Microflake Surface Appearance Model Presenter(s): [Wang] [Jin] [Hasan] [Yan]
[SIGGRAPH 2023]
Type: [Technical Papers]
Position-free multiple-bounce computations for smith microfacet BSDFs Presenter(s): [Wang] [Jin] [Fan] [Yang] [Holzschuch] [Yan]
[SIGGRAPH 2022]
Type: [Technical Papers]
Practical level-of-detail aggregation of fur appearance Presenter(s): [Zhu] [Zhao] [Wang] [Xu] [Yan]
[SIGGRAPH 2022]
Type: [Technical Papers]
Towards practical physical-optics rendering Presenter(s): [Steinberg] [Sen] [Yan]
[SIGGRAPH 2022]
Type: [Technical Papers]
A generic framework for physical light transport Presenter(s): [Steinberg] [Yan]
[SIGGRAPH 2021]
Type: [Technical Papers]
Highlight-aware two-stream network for single-image SVBRDF acquisition Presenter(s): [Guo] [Lai] [Tao] [Cai] [Wang] [Guo] [Yan]
[SIGGRAPH 2021]
Type: [Technical Papers]
Neural complex luminaires: representation and rendering Presenter(s): [Zhu] [Bai] [Xu] [Bako] [Velázquez-Armendáriz] [Wang] [Sen] [Hasan] [Yan]
[SIGGRAPH 2021]
Type: [Technical Papers]
Volumetric appearance stylization with stylizing kernel prediction network Presenter(s): [Guo] [Li] [Zong] [Liu] [He] [Guo] [Yan]
[SIGGRAPH 2021]
Type: [Technical Papers]
Example-based Microstructure Rendering With Constant Storage Presenter(s): [Wang] [Hasan] [Holzschuch] [Yan]
[SIGGRAPH 2020]
Type: [Technical Papers]
Accurate appearance preserving prefiltering for rendering displacement-mapped surfaces Presenter(s): [Wu] [Zhao] [Yan] [Ramamoorthi]
[SIGGRAPH 2019]
Type: [Technical Papers]
Fractional gaussian fields for modeling and rendering of spatially-correlated media Presenter(s): [Guo] [Chen] [Hu] [Yan] [Guo] [Liu]
[SIGGRAPH 2019]
Type: [Technical Papers]
Rendering specular microgeometry with wave optics Presenter(s): [Yan] [Hasan] [Walter]
Entry No.: [75]
[SIGGRAPH 2018]
Type: [Technical Papers]
An efficient and practical near and far field fur reflectance model Presenter(s): [Yan] [Jensen] [Ramamoorthi]
[SIGGRAPH 2017]
Type: [Technical Papers]
Antialiasing Complex Global Illumination Effects in Path-Space Presenter(s): [Belcour] [Yan] [Ramamoorthi] [Nowrouzezahrai]
[SIGGRAPH 2017]
Type: [Technical Papers]
Fast 4D Sheared Filtering for Interactive Rendering of Distribution Effects Presenter(s): [Yan] [Mehta] [Ramamoorthi] [Durand]
[SIGGRAPH 2016]
Type: [Technical Papers]
Position-normal distributions for efficient rendering of specular microstructure Presenter(s): [Yan] [Hasan] [Marschner] [Ramamoorthi]
[SIGGRAPH 2016]
Learning Category: Moderator:
Type: [Technical Papers]
A Full-wave Reference Simulator for Computing Surface Reflectance Presenter(s): [Xia] [Yu] [Walter] [Michielssen] [Marschner]
[SIGGRAPH 2023]
Type: [Technical Papers]
Metameric: Spectral Uplifting via Controllable Color Constraints Presenter(s): [van de Ruit] [Eisemann]
[SIGGRAPH 2023]
Type: [Technical Papers]
NeRF-Texture: Texture Synthesis with Neural Radiance Fields Presenter(s): [Huang] [Cao] [Lai] [Shan] [Gao]
[SIGGRAPH 2023]
Type: [Technical Papers]
NeuSample: Importance Sampling for Neural Materials Presenter(s): [Xu] [Wu] [Hasan] [Luan] [Georgiev] [Xu] [Ramamoorthi]
[SIGGRAPH 2023]
Role(s):
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