{"conference":{"location":"Taipei, Taiwan","name":"26th IEEE International Conference on Image Processing","end_date":"2019-09-25","start_date":"2019-09-22"},"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","oa_version":"Preprint","article_processing_charge":"No","citation":{"ieee":"N. Diamant, D. Zadok, C. Baskin, E. Schwartz, and A. M. Bronstein, “Beholder-Gan: Generation and beautification of facial images with conditioning on their beauty level,” in <i>2019 IEEE International Conference on Image Processing (ICIP)</i>, Taipei, Taiwan, 2019.","ama":"Diamant N, Zadok D, Baskin C, Schwartz E, Bronstein AM. Beholder-Gan: Generation and beautification of facial images with conditioning on their beauty level. In: <i>2019 IEEE International Conference on Image Processing (ICIP)</i>. IEEE; 2019. doi:<a href=\"https://doi.org/10.1109/icip.2019.8803807\">10.1109/icip.2019.8803807</a>","short":"N. Diamant, D. Zadok, C. Baskin, E. Schwartz, A.M. Bronstein, in:, 2019 IEEE International Conference on Image Processing (ICIP), IEEE, 2019.","ista":"Diamant N, Zadok D, Baskin C, Schwartz E, Bronstein AM. 2019. Beholder-Gan: Generation and beautification of facial images with conditioning on their beauty level. 2019 IEEE International Conference on Image Processing (ICIP). 26th IEEE International Conference on Image Processing, 8803807.","chicago":"Diamant, Nir, Dean Zadok, Chaim Baskin, Eli Schwartz, and Alex M. Bronstein. “Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level.” In <i>2019 IEEE International Conference on Image Processing (ICIP)</i>. IEEE, 2019. <a href=\"https://doi.org/10.1109/icip.2019.8803807\">https://doi.org/10.1109/icip.2019.8803807</a>.","apa":"Diamant, N., Zadok, D., Baskin, C., Schwartz, E., &#38; Bronstein, A. M. (2019). Beholder-Gan: Generation and beautification of facial images with conditioning on their beauty level. In <i>2019 IEEE International Conference on Image Processing (ICIP)</i>. Taipei, Taiwan: IEEE. <a href=\"https://doi.org/10.1109/icip.2019.8803807\">https://doi.org/10.1109/icip.2019.8803807</a>","mla":"Diamant, Nir, et al. “Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level.” <i>2019 IEEE International Conference on Image Processing (ICIP)</i>, 8803807, IEEE, 2019, doi:<a href=\"https://doi.org/10.1109/icip.2019.8803807\">10.1109/icip.2019.8803807</a>."},"_id":"18256","scopus_import":"1","date_updated":"2024-12-05T15:59:29Z","type":"conference","date_created":"2024-10-08T13:07:32Z","arxiv":1,"publication_identifier":{"isbn":["9781538662502"],"eissn":["2381-8549"]},"author":[{"last_name":"Diamant","full_name":"Diamant, Nir","first_name":"Nir"},{"last_name":"Zadok","first_name":"Dean","full_name":"Zadok, Dean"},{"full_name":"Baskin, Chaim","first_name":"Chaim","last_name":"Baskin"},{"first_name":"Eli","full_name":"Schwartz, Eli","last_name":"Schwartz"},{"orcid":"0000-0001-9699-8730","first_name":"Alexander","full_name":"Bronstein, Alexander","last_name":"Bronstein","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6"}],"publication":"2019 IEEE International Conference on Image Processing (ICIP)","language":[{"iso":"eng"}],"publication_status":"published","publisher":"IEEE","title":"Beholder-Gan: Generation and beautification of facial images with conditioning on their beauty level","date_published":"2019-08-26T00:00:00Z","abstract":[{"text":"\"Beauty is in the eye of the beholder.\" This maxim, emphasizing the subjectivity of the perception of beauty, has enjoyed a wide consensus since ancient times. In the digital era, data-driven methods have been shown to be able to predict human-assigned beauty scores for facial images. In this work, we augment this ability and train a generative model that generates faces conditioned on a requested beauty score. In addition, we show how this trained generator can be used to \"beautify\" an input face image. By doing so, we achieve an unsupervised beautification model, in the sense that it relies on no ground truth target images. Our implementation is available on: https://github.com/beholdergan/Beholder-GAN.","lang":"eng"}],"quality_controlled":"1","day":"26","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.1902.02593"}],"status":"public","month":"08","article_number":"8803807","oa":1,"extern":"1","doi":"10.1109/icip.2019.8803807","year":"2019","external_id":{"arxiv":["1902.02593"]}}