{"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/deep-koalarization-image-colorization-using","title":"Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2","arxiv_id":"1712.03400","date":"2017-12-09","proceeding":null,"authors":["Federico Baldassarre","Diego González Morín","Lucas Rodés-Guirao"],"abstract":"We review some of the most recent approaches to colorize gray-scale images\nusing deep learning methods. Inspired by these, we propose a model which\ncombines a deep Convolutional Neural Network trained from scratch with\nhigh-level features extracted from the Inception-ResNet-v2 pre-trained model.\nThanks to its fully convolutional architecture, our encoder-decoder model can\nprocess images of any size and aspect ratio. Other than presenting the training\nresults, we assess the \"public acceptance\" of the generated images by means of\na user study. Finally, we present a carousel of applications on different types\nof images, such as historical photographs.","url_abs":"http://arxiv.org/abs/1712.03400v1","url_pdf":"http://arxiv.org/pdf/1712.03400v1.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":"deep-koalarization-image-colorization-using","repo_url":"https://github.com/baldassarreFe/deep-koalarization","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-koalarization-image-colorization-using","repo_url":"https://github.com/Chirayushya/colorization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"deep-koalarization-image-colorization-using","repo_url":"https://github.com/IamShiv26/color-image","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"deep-koalarization-image-colorization-using","repo_url":"https://github.com/IamShiv26/sturdy-waffle","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"deep-koalarization-image-colorization-using","repo_url":"https://github.com/SamLynnEvans/Deep_Colorisation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"deep-koalarization-image-colorization-using","repo_url":"https://github.com/Ye11ow-Flash/ColorIt","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"deep-koalarization-image-colorization-using","repo_url":"https://github.com/ahemaesh/Deep-Image-Colorization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"deep-koalarization-image-colorization-using","repo_url":"https://github.com/ajaychaudhary7/Image-Colorization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"deep-koalarization-image-colorization-using","repo_url":"https://github.com/bluejurand/Photos-colorization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"deep-koalarization-image-colorization-using","repo_url":"https://github.com/humblefool01/Image-Colourization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"deep-koalarization-image-colorization-using","repo_url":"https://github.com/kkhosla96/cs231n-project","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"deep-koalarization-image-colorization-using","repo_url":"https://github.com/wusize/colorization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"deep-koalarization-image-colorization-using","repo_url":"https://github.com/2023-MindSpore-1/ms-code-216/tree/main/resnetv2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"deep-koalarization-image-colorization-using","repo_url":"https://github.com/2023-MindSpore-1/ms-code-217/tree/main/ssd_inception_v2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"deep-koalarization-image-colorization-using","repo_url":"https://github.com/2023-MindSpore-4/Code7/tree/main/ssd_inception_v2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"deep-koalarization-image-colorization-using","repo_url":"https://github.com/sukkritsharmaofficial/Colourization-of-B-W-photos","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"colorization","task_name":"Colorization"},{"task_slug":"decoder","task_name":"Decoder"},{"task_slug":"image-colorization","task_name":"Image Colorization"}],"methods":[{"method_slug":"1x1-convolution","method_name":"1x1 Convolution"},{"method_slug":"average-pooling","method_name":"Average Pooling"},{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"dropout","method_name":"Dropout"},{"method_slug":"inception-resnet-v2","method_name":"Inception-ResNet-v2"},{"method_slug":"inception-resnet-v2-reduction-b","method_name":"Inception-ResNet-v2 Reduction-B"},{"method_slug":"inception-resnet-v2-a","method_name":"Inception-ResNet-v2-A"},{"method_slug":"inception-resnet-v2-b","method_name":"Inception-ResNet-v2-B"},{"method_slug":"inception-resnet-v2-c","method_name":"Inception-ResNet-v2-C"},{"method_slug":"max-pooling","method_name":"Max Pooling"},{"method_slug":"relu","method_name":"ReLU"},{"method_slug":"reduction-a","method_name":"Reduction-A"},{"method_slug":"residual-connection","method_name":"Residual 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