{"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/learning-to-generate-chairs-with-generative","title":"Learning to Generate Chairs with Generative Adversarial Nets","arxiv_id":"1705.10413","date":"2017-05-29","proceeding":null,"authors":["Evgeny Zamyatin","Andrey Filchenkov"],"abstract":"Generative adversarial networks (GANs) has gained tremendous popularity\nlately due to an ability to reinforce quality of its predictive model with\ngenerated objects and the quality of the generative model with and supervised\nfeedback. GANs allow to synthesize images with a high degree of realism.\nHowever, the learning process of such models is a very complicated optimization\nproblem and certain limitation for such models were found. It affects the\nchoice of certain layers and nonlinearities when designing architectures. In\nparticular, it does not allow to train convolutional GAN models with\nfully-connected hidden layers. In our work, we propose a modification of the\npreviously described set of rules, as well as new approaches to designing\narchitectures that will allow us to train more powerful GAN models. We show the\neffectiveness of our methods on the problem of synthesizing projections of 3D\nobjects with the possibility of interpolation by class and view point.","url_abs":"http://arxiv.org/abs/1705.10413v1","url_pdf":"http://arxiv.org/pdf/1705.10413v1.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":"learning-to-generate-chairs-with-generative","repo_url":"https://github.com/EvgenyZamyatin/chair-gan-code","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[{"method_slug":"convolution","method_name":"Convolution"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}