학술논문

A Pixel image generation algorithm based on CycleGAN
Document Type
Conference
Source
2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), 2021 IEEE 4th. 4:476-480 Jun, 2021
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Robotics and Control Systems
Image segmentation
Sensitivity
Deconvolution
Image synthesis
Image edge detection
Conferences
Generators
pixel art
nested U-Net
structure combination loss
Language
ISSN
2693-2776
Abstract
As people's aesthetic becomes more and more diversified, pixel art is loved by more and more people with its unique artistic form and artistic value. In the creation process of pixel image, every pixel needs to be arranged into a zigzag contour according to the rule, and the contour needs to be continuous and clear. However, the existing algorithms often generate more artifacts, and the contour details are not clear. This paper proposed a new unsupervised algorithm for pixel image generation. By using nested U-Net generator structure, multi-scale feature fusion is used to assist in drawing the contour features of pixel image. In addition, structure combination loss is proposed to further ensure the integrity of linear structures such as contour in pixel images. Experimental results show that the proposed method can generate high-quality pixel-style images, and is superior to the existing methods in preserving image details.