SSGAN: Image Generation from Freehand Scene Sketches

Konferenz: ICETIS 2022 - 7th International Conference on Electronic Technology and Information Science
21.01.2022 - 23.01.2022 in Harbin, China

Tagungsband: ICETIS 2022

Seiten: 5Sprache: EnglischTyp: PDF

Autoren:
Ji, Mengying; Zhang, Xianlin; Li, Xueming (School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System and Network Culture, Beijing, China)

Inhalt:
With the remarkable progress on deep CNNs, recent approaches have achieved certain success on image generation from scene-level freehand sketches. However, most of the researches adopt a two-staged way, that is, to generate the foreground and the background of the image respectively. In this paper, we propose a novel one-stage paradigm of GAN-based architecture, which named SSGAN for image generation using sketch-to-image directly. Moreover, we design a novel Semantic Fusion Module (SFM) for better learn the intermediate features. Extensive experiments on SketchyCOCO demonstrate that our proposed framework can obtain competitive performance compared with the state-of-the-art methods.