Multi‐style Chinese art painting generation of flowers-Reference-Cited by-同舟云学术

Multi‐style Chinese art painting generation of flowers

Published:2020-12-29 Issue:3 Volume:15 Page:746-762
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Fu Feifei¹,Lv Jiancheng¹,Tang Chenwei¹,Li Mao¹

Affiliation:

1. College of Computer Science State Key Laboratory of Hydraulics and Mountain River Engineering Sichuan University Chengdu 610065 People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12059

Reference38 articles.

1. Image Style Transfer Using Convolutional Neural Networks

2. Least Squares Generative Adversarial Networks

3. Zhao J. et al.:Energy‐based generative adversarial network. arXiv preprint arXiv:1609.03126 (2016)

4. Semantic Image Synthesis With Spatially-Adaptive Normalization

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. LMGAN: A Progressive End-to-End Chinese Landscape Painting Generation Model;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Color Hint-guided Ink Wash Painting Colorization with Ink Style Prediction Mechanism;ACM Transactions on Applied Perception;2024-06-14

3. The Transformation of Traditional Chinese Painting Elements in Modern Design Contexts;Applied Mathematics and Nonlinear Sciences;2024-01-01

4. Design of automatic style classification system of visual art works based on image processing;Applied Mathematics and Nonlinear Sciences;2024-01-01

5. The Creative Presentation of Color Elements in Chinese Painting Art under the View of Information Technology;Applied Mathematics and Nonlinear Sciences;2024-01-01