Lu Wang
Learning Category: Presentation(s):
![Practical level-of-detail aggregation of fur appearance](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Zhu_-Practical-Level-of-detail-Aggregation-of-Fur-Appearance-150x150.jpg)
Type: [Technical Papers]
Practical level-of-detail aggregation of fur appearance Presenter(s): [Zhu] [Zhao] [Wang] [Xu] [Yan]
[SIGGRAPH 2022]
![Neural complex luminaires: representation and rendering](https://history.siggraph.org/wp-content/uploads/2023/06/2021-Technical-Papers-Zhu_Neural-Complex-Luminaires-Representation-and-Rendering-150x150.jpg)
Type: [Technical Papers]
Neural complex luminaires: representation and rendering Presenter(s): [Zhu] [Bai] [Xu] [Bako] [Velázquez-Armendáriz] [Wang] [Sen] [Hasan] [Yan]
[SIGGRAPH 2021]
![Unfinished Farewell](https://history.siggraph.org/wp-content/uploads/2022/07/2021-Talks-Li_Unfinished-Farewell-01-150x150.jpg)
Type: [Talks (Sketches)]
Unfinished Farewell Presenter(s): [Li] [Wu] [Wu] [Wang] [Zhu]
Entry No.: [20]
[SIGGRAPH 2021]
![A Compact Representation for Multiple Scaering in Participating Media using Neural Networks](https://history.siggraph.org/wp-content/uploads/2022/09/2018-Talks-Ge_-A-Compact-Representation-for-Multiple-Scaering-in-Participating-Media-using-Neural-Networks-01-150x150.jpg)
Type: [Talks (Sketches)]
A Compact Representation for Multiple Scaering in Participating Media using Neural Networks Presenter(s): [Ge] [Wang] [Wang] [Holzschuch]
Entry No.: [16]
[SIGGRAPH 2018]
Role(s):
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