Invention Grant
- Patent Title: 3D hair synthesis using volumetric variational autoencoders
-
Application No.: US16703582Application Date: 2019-12-04
-
Publication No.: US11074751B2Publication Date: 2021-07-27
- Inventor: Hao Li , Liwen Hu , Shunsuke Saito
- Applicant: University of Southern California
- Applicant Address: US CA Los Angeles
- Assignee: University of Southern California
- Current Assignee: University of Southern California
- Current Assignee Address: US CA Los Angeles
- Agency: Snell & Wilmer LLP
- Main IPC: G06T17/20
- IPC: G06T17/20 ; G06T19/20 ; G06T7/10

Abstract:
Devices and methods for single-view 3D hair modeling are disclosed. The method for single-view 3D hair modeling includes training, by a neural network processor, a volumetric autoencoder to encode a plurality of 3D hairstyles into latent features, and to generate an output based on the latent features. The method for single-view 3D hair modeling includes training, by the neural network processor, an embedding network to determine hair coefficients of a single hairstyle from an input image. The method for single-view 3D hair modeling includes receiving, by the neural network processor, the input image. The method for single-view 3D hair modeling includes synthesizing, by the neural network processor, hair strands to generate a single-view 3D model of the single hairstyle based on the volumetric autoencoder, the embedding network, and the input image.
Public/Granted literature
- US20200175757A1 3D HAIR SYNTHESIS USING VOLUMETRIC VARIATIONAL AUTOENCODERS Public/Granted day:2020-06-04
Information query