{"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/deblurgan-blind-motion-deblurring-using","title":"DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks","arxiv_id":"1711.07064","date":"2017-11-19","proceeding":"CVPR 2018 6","authors":["Orest Kupyn","Volodymyr Budzan","Mykola Mykhailych","Dmytro Mishkin","Jiri Matas"],"abstract":"We present DeblurGAN, an end-to-end learned method for motion deblurring. The\nlearning is based on a conditional GAN and the content loss . DeblurGAN\nachieves state-of-the art performance both in the structural similarity measure\nand visual appearance. The quality of the deblurring model is also evaluated in\na novel way on a real-world problem -- object detection on (de-)blurred images.\nThe method is 5 times faster than the closest competitor -- DeepDeblur. We also\nintroduce a novel method for generating synthetic motion blurred images from\nsharp ones, allowing realistic dataset augmentation.\n  The model, code and the dataset are available at\nhttps://github.com/KupynOrest/DeblurGAN","url_abs":"http://arxiv.org/abs/1711.07064v4","url_pdf":"http://arxiv.org/pdf/1711.07064v4.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":"deblurgan-blind-motion-deblurring-using","repo_url":"https://github.com/KupynOrest/DeblurGAN","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"deblurgan-blind-motion-deblurring-using","repo_url":"https://github.com/The-GAN-g/DeblurGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"deblurgan-blind-motion-deblurring-using","repo_url":"https://github.com/anastasiia-kornilova/MMDF","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"deblurgan-blind-motion-deblurring-using","repo_url":"https://github.com/au1206/Enhance-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"deblurgan-blind-motion-deblurring-using","repo_url":"https://github.com/fabriziocacicia/DeblurGAN-TF2.0","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"deblurgan-blind-motion-deblurring-using","repo_url":"https://github.com/fatalfeel/DeblurGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"deblurgan-blind-motion-deblurring-using","repo_url":"https://github.com/jeromepan/Image-motion-delbur-with-a-smart-phone-application","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"deblurgan-blind-motion-deblurring-using","repo_url":"https://github.com/lycutter/deblur_sr_gan","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"deblurgan-blind-motion-deblurring-using","repo_url":"https://github.com/pablodz/deblurgan","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"deblurgan-blind-motion-deblurring-using","repo_url":"https://github.com/pgarz/runway_exercise","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"deblurgan-blind-motion-deblurring-using","repo_url":"https://github.com/raven-dehaze-work/DeblurGanToDehaze","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"deblurgan-blind-motion-deblurring-using","repo_url":"https://github.com/siddhantkhandelwal/deblur-gan","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"deblurgan-blind-motion-deblurring-using","repo_url":"https://github.com/testestzxcv/DeblurGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"deblurring","task_name":"Deblurring"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[{"method_slug":"convolution","method_name":"Convolution"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/deblurring-on-reds","task":"Deblurring","dataset":"REDS","model":"DeblurGAN","rank_in_archive_order":3,"of":3,"metrics":{"Average PSNR":"24.09"},"uses_additional_data":false},{"leaderboard":"/sota/deblurring-on-realblur-j-trained-on-gopro","task":"Deblurring","dataset":"RealBlur-J (trained on GoPro)","model":"DeblurGAN","rank_in_archive_order":15,"of":15,"metrics":{"SSIM (sRGB)":"0.834"},"uses_additional_data":false},{"leaderboard":"/sota/deblurring-on-realblur-r-trained-on-gopro","task":"Deblurring","dataset":"RealBlur-R (trained on GoPro)","model":"DeblurGAN","rank_in_archive_order":18,"of":19,"metrics":{"SSIM (sRGB)":"0.903"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1711.07064","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}