We-toon: A Communication Support System between Writers and Artists in Collaborative Webtoon Sketch Revision
Hyung-Kwon Ko, Subin An, Gwanmo Park, Seungkwon Kim, Daesik Kim, Bo Hyoung Kim, Jaemin Jo, Jinwook Seo
Abstract
We present a communication support system, namely We-toon, that can bridge the webtoon writers and artists during sketch revision (i.e., character design and draft revision). In the highly iterative design process between the webtoon writers and artists, writers often have difculties in precisely articulating their feedback on sketches owing to their lack of drawing profciency. This drawback makes the writers rely on textual descriptions and reference images found using search engines, leading to indirect and inefcient communications. Inspired by a formative study, we designed We-toon to help writers revise webtoon sketches and efectively communicate with artists. Through a GAN-based image synthesis and manipulation, We-toon can interactively generate diverse reference images and synthesize them locally on any user-provided image. Our user study with 24 professional webtoon authors demonstrated that We-toon outperforms the traditional methods in terms of communication efectiveness and the writers' satisfaction level related to the revised image.
• Human-centered computing → Collaborative content creation; User interface design; Interface design prototyping; Systems and tools for interaction design.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 4337f17c-53dd-4d81-bcae-75d9a506c48dCited by top-tier papers7
- GenAssist: Making Image Generation AccessibleMina Huh, Yi-Hao Peng, Amy PavelUIST 2023 · 58 citations
- WorldSmith: Iterative and Expressive Prompting for World Building with a Generative AIHai Dang, Frederik Brudy, George W. Fitzmaurice, Fraser AndersonUIST 2023 · 43 citations
- From Paper to Card: Transforming Design Implications with Generative AIDonghoon Shin, Lucy Lu Wang, Gary HsiehCHI 2024 · 28 citations
- IntentTuner: An Interactive Framework for Integrating Human Intentions in Fine-tuning Text-to-Image Generative ModelsXingchen Zeng, Ziyao Gao, Yilin Ye, Wei ZengCHI 2024 · 27 citations
- Natural Language Dataset Generation Framework for Visualizations Powered by Large Language ModelsHyung-Kwon Ko, Hyeon Jeon, Gwanmo Park, Dae Hyun Kim et al.CHI 2024 · 20 citations
Builds on15
- Training Generative Adversarial Networks with Limited DataTero Karras, Miika Aittala, Janne Hellsten, Samuli Laine et al.NeurIPS 2020 · 2,345 citations
- GANSpace: Discovering Interpretable GAN ControlsErik Härkönen, Aaron Hertzmann, Jaakko Lehtinen, Sylvain ParisNeurIPS 2020 · 1,049 citations
- StyleGAN-XL: Scaling StyleGAN to Large Diverse DatasetsAxel Sauer, Katja Schwarz, Andreas GeigerSIGGRAPH 2022 · 326 citations
- HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image EditingYuval Alaluf, Omer Tov, Ron Mokady, Rinon Gal et al.CVPR 2022 · 250 citations
- Designing a Chatbot as a Mediator for Promoting Deep Self-Disclosure to a Real Mental Health ProfessionalYi-Chieh Lee, Naomi Yamashita, Yun HuangCSCW 2020 · 190 citations
Related papers
- SketchMan: Learning to Create Professional SketchesJia Li, Nan Gao, Tong Shen, Wei Zhang et al.ACM MM 2020 · 12 citations
- Less Redraw, More Explore: Suggestion and Completion for Sketch-to-ImageZeyu Zhao, Connor Rees, Gavin Bailey, Matt Jones et al.CHI 2026 · 1 citation
- Sketch Your Own GANSheng-Yu Wang, David Bau, Jun-Yan ZhuICCV 2021 · 82 citations
- EmoG: Supporting the Sketching of Emotional Expressions for StoryboardingYang Shi, Nan Cao, Xiaojuan Ma, Siji Chen et al.CHI 2020 · 48 citations
- Interactive Sketch & Fill: Multiclass Sketch-to-Image TranslationArnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang et al.ICCV 2019 · 148 citations
