{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/language-based-colorization-of-scene-sketches","title":"Language-based Colorization of Scene Sketches","arxiv_id":null,"date":"2019-11-17","proceeding":"Transactions on Graphics 2019 11","authors":["Changqing Zou","Haoran Mo","Chengying Gao","Ruofei Du","Hongbo Fu"],"abstract":"Being natural, touchless, and fun-embracing, language-based inputs have been demonstrated effective for various tasks from image generation to literacy education for children. This paper for the first time presents a language-based system for interactive colorization of scene sketches, based on semantic comprehension. The proposed system is built upon deep neural networks trained on a large-scale repository of scene sketches and cartoonstyle color images with text descriptions. Given a scene sketch, our system allows users, via language-based instructions, to interactively localize and colorize specific foreground object instances to meet various colorization requirements in a progressive way. We demonstrate the effectiveness of our approach via comprehensive experimental results including alternative studies, comparison with the state-of-the-art methods, and generalization user studies. Given the unique characteristics of language-based inputs, we envision a combination of our interface with a traditional scribble-based interface for a practical multimodal colorization system, benefiting various applications.","url_abs":"https://sketchyscene.github.io/SketchySceneColorization/","url_pdf":"http://mo-haoran.com/files/SIGA19/SketchColorization_paper_SA2019.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"language-based-colorization-of-scene-sketches","repo_url":"https://github.com/SketchyScene/SketchySceneColorization","is_official":0,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null},{"paper_slug":"language-based-colorization-of-scene-sketches","repo_url":"https://github.com/MindSpore-scientific-2/code-2/tree/main/Sketch2art","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"language-based-colorization-of-scene-sketches","repo_url":"https://github.com/MindSpore-scientific/code-10/tree/main/Sketch2art","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"language-based-colorization-of-scene-sketches","repo_url":"https://github.com/MindSpore-scientific/code-11/tree/main/Sketch2art","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null}],"tasks":[{"task_slug":"colorization","task_name":"Colorization"},{"task_slug":"image-generation","task_name":"Image Generation"},{"task_slug":"scene-understanding","task_name":"Scene Understanding"},{"task_slug":"sketch","task_name":"Sketch"}],"methods":[{"method_slug":"colorization","method_name":"Colorization"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}