Item Infomation
Title: | Free-view Face Relighting Using a Hybrid Parametric Neural Model on a SMALL-OLAT Dataset |
Authors: | Youjia, Wang Kai, He Taotao, Zhou |
Issue Date: | 2023 |
Publisher: | Springer |
Abstract: | The development of neural relighting techniques has by far outpaced the rate of their corresponding training data (e.g., OLAT) generation. For example, high-quality relighting from a single portrait image still requires supervision from comprehensive datasets covering broad diversities in gender, race, complexion, and facial geometry. We present a hybrid parametric neural relighting (PN-Relighting) framework for single portrait relighting, using a much smaller OLAT dataset or SMOLAT. At the core of PN-Relighting, we employ parametric 3D faces coupled with appearance inference and implicit material modelling to enrich SMOLAT for handling in-the-wild images. |
Description: | CC BY |
URI: | https://link.springer.com/article/10.1007/s11263-022-01730-5 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7398 |
Appears in Collections | OER - Công nghệ thông tin |
ABSTRACTS VIEWS
27
FULLTEXT VIEWS
7
Files in This Item: