{"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/convolutional-sketch-inversion","title":"Convolutional Sketch Inversion","arxiv_id":"1606.03073","date":"2016-06-09","proceeding":null,"authors":["Yağmur Güçlütürk","Umut Güçlü","Rob Van Lier","Marcel A. J. van Gerven"],"abstract":"In this paper, we use deep neural networks for inverting face sketches to\nsynthesize photorealistic face images. We first construct a semi-simulated\ndataset containing a very large number of computer-generated face sketches with\ndifferent styles and corresponding face images by expanding existing\nunconstrained face data sets. We then train models achieving state-of-the-art\nresults on both computer-generated sketches and hand-drawn sketches by\nleveraging recent advances in deep learning such as batch normalization, deep\nresidual learning, perceptual losses and stochastic optimization in combination\nwith our new dataset. We finally demonstrate potential applications of our\nmodels in fine arts and forensic arts. In contrast to existing patch-based\napproaches, our deep-neural-network-based approach can be used for synthesizing\nphotorealistic face images by inverting face sketches in the wild.","url_abs":"http://arxiv.org/abs/1606.03073v1","url_pdf":"http://arxiv.org/pdf/1606.03073v1.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":"convolutional-sketch-inversion","repo_url":"https://github.com/Pingxia/ConvolutionalSketchInversion","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"gone","observed_at":"2026-09-18","how":"tree_404+repo_404"}},{"paper_slug":"convolutional-sketch-inversion","repo_url":"https://github.com/saifvazir/Convolutional-Sketch-Inversion","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"stochastic-optimization","task_name":"Stochastic Optimization"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1606.03073","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}