{"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/an-infinite-parade-of-giraffes-expressive","title":"An Infinite Parade of Giraffes: Expressive Augmentation and Complexity Layers for Cartoon Drawing","arxiv_id":"1811.07023","date":"2018-11-08","proceeding":null,"authors":["K. G. Greene"],"abstract":"In this paper, we explore creative image generation constrained by small\ndata. To partially automate the creation of cartoon sketches consistent with a\nspecific designer's style, where acquiring a very large original image set is\nimpossible or cost prohibitive, we exploit domain specific knowledge for a huge\nreduction in original image requirements, creating an effectively infinite\nnumber of cartoon giraffes from just nine original drawings. We introduce\n\"expressive augmentations\" for cartoon sketches, mathematical transformations\nthat create broad domain appropriate variation, far beyond the usual affine\ntransformations, and we show that chained GANs models trained on the temporal\nstages of drawing or \"complexity layers\" can effectively add character\nappropriate details and finish new drawings in the designer's style.\n  We discuss the application of these tools in design processes for textiles,\ngraphics, architectural elements and interior design.","url_abs":"http://arxiv.org/abs/1811.07023v1","url_pdf":"http://arxiv.org/pdf/1811.07023v1.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":"an-infinite-parade-of-giraffes-expressive","repo_url":"https://github.com/kggreene/kggreene.github.io","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"image-generation","task_name":"Image Generation"},{"task_slug":"small-data","task_name":"Small Data Image Classification"}],"methods":[],"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}