{"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/texture-mixer-a-network-for-controllable","title":"Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture","arxiv_id":"1901.03447","date":"2019-01-11","proceeding":"CVPR 2019 6","authors":["Ning Yu","Connelly Barnes","Eli Shechtman","Sohrab Amirghodsi","Michal Lukac"],"abstract":"This paper addresses the problem of interpolating visual textures. We\nformulate this problem by requiring (1) by-example controllability and (2)\nrealistic and smooth interpolation among an arbitrary number of texture\nsamples. To solve it we propose a neural network trained simultaneously on a\nreconstruction task and a generation task, which can project texture examples\nonto a latent space where they can be linearly interpolated and projected back\nonto the image domain, thus ensuring both intuitive control and realistic\nresults. We show our method outperforms a number of baselines according to a\ncomprehensive suite of metrics as well as a user study. We further show several\napplications based on our technique, which include texture brush, texture\ndissolve, and animal hybridization.","url_abs":"http://arxiv.org/abs/1901.03447v2","url_pdf":"http://arxiv.org/pdf/1901.03447v2.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":"texture-mixer-a-network-for-controllable","repo_url":"https://github.com/ningyu1991/TextureMixer","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1901.03447","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}