Invention Grant
- Patent Title: Pose-variant 3D facial attribute generation
-
Application No.: US16673256Application Date: 2019-11-04
-
Publication No.: US10991145B2Publication Date: 2021-04-27
- Inventor: Xiang Yu , Feng-Ju Chang , Manmohan Chandraker
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: US NJ Princeton
- Assignee: NEC Laboratories America, Inc.
- Current Assignee: NEC Laboratories America, Inc.
- Current Assignee Address: US NJ Princeton
- Agent Joseph Kolodka
- Main IPC: G06T15/04
- IPC: G06T15/04 ; G06K9/00 ; G06T15/00

Abstract:
A system is provided for pose-variant 3D facial attribute generation. A first stage has a hardware processor based 3D regression network for directly generating a space position map for a 3D shape and a camera perspective matrix from a single input image of a face and further having a rendering layer for rendering a partial texture map of the single input image based on the space position map and the camera perspective matrix. A second stage has a hardware processor based two-part stacked Generative Adversarial Network (GAN) including a Texture Completion GAN (TC-GAN) stacked with a 3D Attribute generation GAN (3DA-GAN). The TC-GAN completes the partial texture map to form a complete texture map based on the partial texture map and the space position map. The 3DA-GAN generates a target facial attribute for the single input image based on the complete texture map and the space position map.
Public/Granted literature
- US20200151940A1 POSE-VARIANT 3D FACIAL ATTRIBUTE GENERATION Public/Granted day:2020-05-14
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T15/00 | 3D〔三维〕图像的加工 |
G06T15/04 | .纹理映射 |