{"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/adjustable-real-time-style-transfer","title":"Adjustable Real-time Style Transfer","arxiv_id":"1811.08560","date":"2018-11-21","proceeding":"ICLR 2020 1","authors":["Mohammad Babaeizadeh","Golnaz Ghiasi"],"abstract":"Artistic style transfer is the problem of synthesizing an image with content\nsimilar to a given image and style similar to another. Although recent\nfeed-forward neural networks can generate stylized images in real-time, these\nmodels produce a single stylization given a pair of style/content images, and\nthe user doesn't have control over the synthesized output. Moreover, the style\ntransfer depends on the hyper-parameters of the model with varying \"optimum\"\nfor different input images. Therefore, if the stylized output is not appealing\nto the user, she/he has to try multiple models or retrain one with different\nhyper-parameters to get a favorite stylization. In this paper, we address these\nissues by proposing a novel method which allows adjustment of crucial\nhyper-parameters, after the training and in real-time, through a set of\nmanually adjustable parameters. These parameters enable the user to modify the\nsynthesized outputs from the same pair of style/content images, in search of a\nfavorite stylized image. Our quantitative and qualitative experiments indicate\nhow adjusting these parameters is comparable to retraining the model with\ndifferent hyper-parameters. We also demonstrate how these parameters can be\nrandomized to generate results which are diverse but still very similar in\nstyle and content.","url_abs":"http://arxiv.org/abs/1811.08560v1","url_pdf":"http://arxiv.org/pdf/1811.08560v1.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":"adjustable-real-time-style-transfer","repo_url":"https://github.com/gnhdnb/adjustable-real-time-style-transfer","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"style-transfer","task_name":"Style Transfer"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1811.08560","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1811.08560"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/gnhdnb/adjustable-real-time-style-transfer","reach":null}],"summary":{"unverified":1},"by_repo_kind":{"listed":{"samples":1,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"33bdd8217a2859e8","entry":"stylize_onnx_caffe2","repo":"gnhdnb/adjustable-real-time-style-transfer","repo_kind":"listed","path":"neural_style/neural_style.py","file_url":"https://github.com/gnhdnb/adjustable-real-time-style-transfer/blob/HEAD/neural_style/neural_style.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"33bdd8217a2859e8"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}