Hongzhi Wu
Most Recent Affiliation(s):
- Zhejiang University, State Key Lab of CAD&CG
Location:
- Hangzhou, China
Learning Category: Presentation(s):
![Relighting Neural Radiance Fields with Shadow and Highlight Hints](https://history.siggraph.org/wp-content/uploads/2024/02/2023-Tech-Papers-Wu_DE-NeRF-DEcoupled-Neural-Radiance-Fields-for-View-Consistent-Appearance-Editing-and-High-Frequency-Environmental-Relighting-1-150x150.jpg)
Type: [Technical Papers]
Relighting Neural Radiance Fields with Shadow and Highlight Hints Presenter(s): [Zeng] [Chen] [Dong] [Peers] [Wu] [Tong]
[SIGGRAPH 2023]
![Free-form scanning of non-planar appearance with neural trace photography](https://history.siggraph.org/wp-content/uploads/2023/06/2021-Technical-Papers-Ma_Free-form-Scanning-of-Non-planar-Appearance-with-Neural-Trace-Photography-150x150.jpg)
Type: [Technical Papers]
Free-form scanning of non-planar appearance with neural trace photography Presenter(s): [Ma] [Kang] [Zhu] [Wu] [Zhou]
[SIGGRAPH 2021]
![Efficient reflectance capture using an autoencoder](https://history.siggraph.org/wp-content/uploads/2023/02/2018-Technical-Papers-Kang_Efficient-Reflectance-Capture-Using-an-Autoencoder-150x150.jpg)
Type: [Technical Papers]
Efficient reflectance capture using an autoencoder Presenter(s): [Kang] [Chen] [Wang] [Zhou] [Wu]
Entry No.: [127]
[SIGGRAPH 2018]
![Learning Optimal Lighting Patterns for Efficient SVBRDF Acquisition](https://history.siggraph.org/wp-content/uploads/2022/01/2018-47-Kang_Learning-Optimal-Lighting-Patterns-01-150x150.jpg)
Type: [Posters]
Learning Optimal Lighting Patterns for Efficient SVBRDF Acquisition Presenter(s): [Kang] [Chen] [Wang] [Zhou] [Wu]
Entry No.: [47]
[SIGGRAPH 2018]
![A data-driven approach to four-view image-based hair modeling](https://history.siggraph.org/wp-content/uploads/2023/02/2017-Technical-Papers-Zhang_A-Data-driven-Approach-to-Four-view-Image-based-Hair-Modeling-1-150x150.jpg)
Type: [Technical Papers]
A data-driven approach to four-view image-based hair modeling Presenter(s): [Zhang] [Chai] [Wu] [Yang] [Zhou]
[SIGGRAPH 2017]
Role(s):
If you find errors or omissions on your profile page, please contact us: historyarchives@siggraph.org
Did you know you can send us a photo of yourself and a bio and we will post it? Make sure the photo is at least 1000 x 1000 and send it to the email above along with the bio and we will add it to your page.