Controllable Light Diffusion for Portraits
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00367649" target="_blank" >RIV/68407700:21230/23:00367649 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/CVPR52729.2023.00813" target="_blank" >https://doi.org/10.1109/CVPR52729.2023.00813</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CVPR52729.2023.00813" target="_blank" >10.1109/CVPR52729.2023.00813</a>
Alternative languages
Result language
angličtina
Original language name
Controllable Light Diffusion for Portraits
Original language description
We introduce light diffusion, a novel method to improve lighting in portraits, softening harsh shadows and specular highlights while preserving overall scene illumination. Inspired by professional photographers' diffusers and scrims, our method softens lighting given only a single portrait photo. Previous portrait relighting approaches focus on changing the entire lighting environment, removing shadows (ignoring strong specular highlights), or removing shading entirely. In contrast, we propose a learning based method that allows us to control the amount of light diffusion and apply it on in-the-wild portraits. Additionally, we design a method to synthetically generate plausible external shadows with sub-surface scattering effects while conforming to the shape of the subject's face. Finally, we show how our approach can increase the robustness of higher level vision applications, such as albedo estimation, geometry estimation and semantic segmentation.
Czech name
—
Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
ISBN
979-8-3503-0129-8
ISSN
1063-6919
e-ISSN
2575-7075
Number of pages
10
Pages from-to
8412-8421
Publisher name
IEEE Computer Society
Place of publication
USA
Event location
Vancouver
Event date
Jun 18, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001062522100040