{"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/collagan-collaborative-gan-for-missing-image","title":"CollaGAN : Collaborative GAN for Missing Image Data Imputation","arxiv_id":"1901.09764","date":"2019-01-28","proceeding":null,"authors":["Dongwook Lee","Junyoung Kim","Won-Jin Moon","Jong Chul Ye"],"abstract":"In many applications requiring multiple inputs to obtain a desired output, if\nany of the input data is missing, it often introduces large amounts of bias.\nAlthough many techniques have been developed for imputing missing data, the\nimage imputation is still difficult due to complicated nature of natural\nimages. To address this problem, here we proposed a novel framework for missing\nimage data imputation, called Collaborative Generative Adversarial Network\n(CollaGAN). CollaGAN converts an image imputation problem to a multi-domain\nimages-to-image translation task so that a single generator and discriminator\nnetwork can successfully estimate the missing data using the remaining clean\ndata set. We demonstrate that CollaGAN produces the images with a higher visual\nquality compared to the existing competing approaches in various image\nimputation tasks.","url_abs":"http://arxiv.org/abs/1901.09764v3","url_pdf":"http://arxiv.org/pdf/1901.09764v3.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":"collagan-collaborative-gan-for-missing-image","repo_url":"https://github.com/Superminionsfy/Personalized-Data-Generation-using-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":null,"task_name":"Generative Adversarial Network"},{"task_slug":"image-imputation","task_name":"Image Imputation"},{"task_slug":"imputation","task_name":"Imputation"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1901.09764","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}