{"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/face-synthesis-from-visual-attributes-via","title":"Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs","arxiv_id":"1801.00077","date":"2017-12-30","proceeding":null,"authors":["Xing Di","Vishal M. Patel"],"abstract":"Automatic synthesis of faces from visual attributes is an important problem\nin computer vision and has wide applications in law enforcement and\nentertainment. With the advent of deep generative convolutional neural networks\n(CNNs), attempts have been made to synthesize face images from attributes and\ntext descriptions. In this paper, we take a different approach, where we\nformulate the original problem as a stage-wise learning problem. We first\nsynthesize the facial sketch corresponding to the visual attributes and then we\nreconstruct the face image based on the synthesized sketch. The proposed\nAttribute2Sketch2Face framework, which is based on a combination of deep\nConditional Variational Autoencoder (CVAE) and Generative Adversarial Networks\n(GANs), consists of three stages: (1) Synthesis of facial sketch from\nattributes using a CVAE architecture, (2) Enhancement of coarse sketches to\nproduce sharper sketches using a GAN-based framework, and (3) Synthesis of face\nfrom sketch using another GAN-based network. Extensive experiments and\ncomparison with recent methods are performed to verify the effectiveness of the\nproposed attribute-based three stage face synthesis method.","url_abs":"http://arxiv.org/abs/1801.00077v1","url_pdf":"http://arxiv.org/pdf/1801.00077v1.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":"face-synthesis-from-visual-attributes-via","repo_url":"https://github.com/DetionDX/Attribute2Sketch2Face","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"attribute","task_name":"Attribute"},{"task_slug":"face-generation","task_name":"Face Generation"}],"methods":[{"method_slug":"cvae","method_name":"cVAE"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1801.00077","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}