{"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/sketch-to-car-synthesizing-stylized-car","title":"Sketch-to-Car: Synthesizing Stylized Car Images From Sketches","arxiv_id":null,"date":"2021-11-01","proceeding":"journal 2021 11","authors":["Shujia Liu"],"abstract":"We investigate the inception module as a building block of conditional generative adversarial network (GAN) in training a sketch-to-car model. We demonstrate that this approach is effective at synthesizing photos from edge maps. Experimental results show that, the use of inception modules significantly accelerates the training process of conditional GAN compared to those using convolutional layers, while maintaining a similar frechet inception distance (FID) score.","url_abs":"https://github.com/sugia/sketch-to-car/raw/master/sketch_to_car.pdf","url_pdf":"https://github.com/sugia/sketch-to-car/raw/master/sketch_to_car.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":"sketch-to-car-synthesizing-stylized-car","repo_url":"https://github.com/sugia/sketch-to-car","is_official":0,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":null,"task_name":"Generative Adversarial Network"},{"task_slug":"image-generation","task_name":"Image Generation"}],"methods":[{"method_slug":"1x1-convolution","method_name":"1x1 Convolution"},{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"inception-module","method_name":"Inception Module"},{"method_slug":"max-pooling","method_name":"Max Pooling"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}