Realistic real-time processing of anime portraits based on generative adversarial networks

Gaofeng Zhu; Zhiguo Qu; Le Sun; Yuming Liu; Jianfeng Yang

doi:10.1007/s11554-024-01481-1

ScienceGate Book Chapters

JOURNAL ARTICLE

Realistic real-time processing of anime portraits based on generative adversarial networks

Gaofeng Zhu Zhiguo Qu Le Sun Yuming Liu Jianfeng Yang

Year: 2024 Journal: Journal of Real-Time Image Processing Vol: 21 (4) Publisher: Springer Science+Business Media

DOI: 10.1007/s11554-024-01481-1

Get Full-Text PDF Get Analytical Report

Keywords:

Anime Portrait Adversarial system Generative grammar Computer science Artificial intelligence Computer vision Computer graphics (images) Art Visual arts

Metrics

Cited By

0.53

FWCI (Field Weighted Citation Impact)

Refs

0.52

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Analysis and Summarization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Human Motion and Animation

Physical Sciences → Engineering → Control and Systems Engineering

Realistic real-time processing of anime portraits based on generative adversarial networks

Metrics

Citation History

Topics

Related Documents

Generative adversarial networks for real-time realistic physics simulations

Anime Avatar Generation Based on Generative Adversarial Networks

Uncouple Generative Adversarial Networks for Transferring Stylized Portraits to Realistic Faces

Real-Time Patch-Based Stylization of Portraits Using Generative Adversarial Network

Anime Scene Generator from Real-World Scenario Using Generative Adversarial Networks