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Our proposed method performs better than existing methods in\naccuracy and visual improvements in our results are easily noticeable.","url_abs":"http://arxiv.org/abs/1511.04587v2","url_pdf":"http://arxiv.org/pdf/1511.04587v2.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":"accurate-image-super-resolution-using-very","repo_url":"https://github.com/GuillaumeDufau/Image-super-resolution-vdsr","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"accurate-image-super-resolution-using-very","repo_url":"https://github.com/Lornatang/DRRN-PyTorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"accurate-image-super-resolution-using-very","repo_url":"https://github.com/Lornatang/VDSR-PyTorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"accurate-image-super-resolution-using-very","repo_url":"https://github.com/Nhat-Thanh/VDSR-Pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"accurate-image-super-resolution-using-very","repo_url":"https://github.com/SJHNJU/VDSR","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"accurate-image-super-resolution-using-very","repo_url":"https://github.com/jshermeyer/VDSR4Geo","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"accurate-image-super-resolution-using-very","repo_url":"https://github.com/murrman95/INF573Project2018","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"accurate-image-super-resolution-using-very","repo_url":"https://github.com/yslenjoy/machine_learning_SuperResolution","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-super-resolution","task_name":"Image Super-Resolution"},{"task_slug":"super-resolution","task_name":"Super-Resolution"},{"task_slug":"video-super-resolution","task_name":"Video Super-Resolution"}],"methods":[{"method_slug":"speed","method_name":"SPEED"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/image-super-resolution-on-ixi","task":"Image Super-Resolution","dataset":"IXI","model":"VDSR","rank_in_archive_order":7,"of":9,"metrics":{"PSNR 2x T2w":"38.65","PSNR 4x T2w":"30.79","SSIM 4x T2w":"0.9240","SSIM for 2x T2w":"0.9836"},"uses_additional_data":false},{"leaderboard":"/sota/image-super-resolution-on-manga109-4x","task":"Image Super-Resolution","dataset":"Manga109 - 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