Multi-Style Artistic Portrait Drawing Generation
- Resource Type
- Conference
- Authors
- Yi, Ran; Liu, Yong-Jin
- Source
- 2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) Multimedia & Expo Workshops (ICMEW), 2021 IEEE International Conference on. :1-2 Jul, 2021
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Social networking (online)
Conferences
Transforms
Software
Message service
Faces
Portrait Drawing Generation
Style Transfer
Image/video processing
Generative Adversarial Networks
- Language
The software transforms face photos into artistic portrait drawings of multiple styles using a GAN-based model. The link to the software source code is https://github.com/yiranran/Unpaired-Portrait-Drawing. The software is the implementation for the CVPR 2020 paper “Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping” [1], which is also an improved version over our previous work on TPAMI [2] and CVPR 2019 [3]. The preliminary version of these code was integrated into a mini-program on WeChat, which is the most popular free messaging and calling app in China. Our mini-program became popular, receiving about 400K user clicks in only two weeks.