دورية أكاديمية

Make Your Own Sprites:Aliasing-Aware and Cell-Controllable Pixelization

التفاصيل البيبلوغرافية
العنوان: Make Your Own Sprites:Aliasing-Aware and Cell-Controllable Pixelization
المؤلفون: Wu, Zongwei, Chai, Liangyu, Zhao, Nanxuan, Deng, Bailin, Liu, Yongtuo, Wen, Qiang, Wang, Junle, He, Shengfeng
المصدر: Wu , Z , Chai , L , Zhao , N , Deng , B , Liu , Y , Wen , Q , Wang , J & He , S 2022 , ' Make Your Own Sprites : Aliasing-Aware and Cell-Controllable Pixelization ' , ACM Transactions on Graphics , vol. 41 , no. 6 , 193 . https://doi.org/10.1145/3550454.3555482Test
سنة النشر: 2022
مصطلحات موضوعية: generative adversarial networks, image-to-image translation, pixelization, /dk/atira/pure/subjectarea/asjc/1700/1704, name=Computer Graphics and Computer-Aided Design
الوصف: Pixel art is a unique art style with the appearance of low resolution images. In this paper, we propose a data-drivenpixelization method that can produce sharp and crisp cell effects with controllable cell sizes. Our approach overcomes the limitation of existing learning-based methods in cell size control by introducing a reference pixel art to explicitly regularize the cell structure. In particular, the cell structure features of the reference pixel art are used as an auxiliary input for the pixelization process, and for measuring the style similarity between the generated result and the reference pixel art. Furthermore, we disentangle the pixelization process into specific cell-aware and aliasing-aware stages, mitigating the ambiguities in joint learning of cell size, aliasing effect, and color assignment. To train our model, we construct a dedicated pixel art dataset and augment it with different cell sizes and different degrees of anti-aliasing effects. Extensive experiments demonstrate its superior performance over state-of-the-arts in terms of cell sharpness and perceptual expressiveness. We also show promising results of video game pixelization for the first time. Code and dataset are available at https://github.com/WuZongWei6/PixelizationTest.
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: https://researchportal.bath.ac.uk/en/publications/971e487c-1206-447b-b1ba-e1f63ecf8baeTest
DOI: 10.1145/3550454.3555482
الإتاحة: https://doi.org/10.1145/3550454.3555482Test
https://researchportal.bath.ac.uk/en/publications/971e487c-1206-447b-b1ba-e1f63ecf8baeTest
http://www.scopus.com/inward/record.url?scp=85146371450&partnerID=8YFLogxKTest
https://orca.cardiff.ac.uk/id/eprint/152816Test/
حقوق: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.53377C60
قاعدة البيانات: BASE