{"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/tac-gan-text-conditioned-auxiliary-classifier","title":"TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network","arxiv_id":"1703.06412","date":"2017-03-19","proceeding":null,"authors":["Ayushman Dash","John Cristian Borges Gamboa","Sheraz Ahmed","Marcus Liwicki","Muhammad Zeshan Afzal"],"abstract":"In this work, we present the Text Conditioned Auxiliary Classifier Generative\nAdversarial Network, (TAC-GAN) a text to image Generative Adversarial Network\n(GAN) for synthesizing images from their text descriptions. Former approaches\nhave tried to condition the generative process on the textual data; but allying\nit to the usage of class information, known to diversify the generated samples\nand improve their structural coherence, has not been explored. We trained the\npresented TAC-GAN model on the Oxford-102 dataset of flowers, and evaluated the\ndiscriminability of the generated images with Inception-Score, as well as their\ndiversity using the Multi-Scale Structural Similarity Index (MS-SSIM). Our\napproach outperforms the state-of-the-art models, i.e., its inception score is\n3.45, corresponding to a relative increase of 7.8% compared to the recently\nintroduced StackGan. A comparison of the mean MS-SSIM scores of the training\nand generated samples per class shows that our approach is able to generate\nhighly diverse images with an average MS-SSIM of 0.14 over all generated\nclasses.","url_abs":"http://arxiv.org/abs/1703.06412v2","url_pdf":"http://arxiv.org/pdf/1703.06412v2.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":"tac-gan-text-conditioned-auxiliary-classifier","repo_url":"https://github.com/EgorRazumilov/TAC_GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"tac-gan-text-conditioned-auxiliary-classifier","repo_url":"https://github.com/bunny98/Text-to-Image-Using-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"GPL-3.0"}},{"paper_slug":"tac-gan-text-conditioned-auxiliary-classifier","repo_url":"https://github.com/dashayushman/TAC-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"tac-gan-text-conditioned-auxiliary-classifier","repo_url":"https://github.com/kushalpatil1997/text_to_image_synthesis","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"diversity","task_name":"Diversity"},{"task_slug":null,"task_name":"Generative Adversarial Network"},{"task_slug":"ms-ssim","task_name":"MS-SSIM"},{"task_slug":"ssim","task_name":"SSIM"}],"methods":[{"method_slug":"auxiliary-classifier","method_name":"Auxiliary Classifier"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1703.06412","atlas_url":"https://app.syntology.ai/?focus=1703.06412","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1703.06412"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/kushalpatil1997/text_to_image_synthesis","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/dashayushman/TAC-GAN","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/EgorRazumilov/TAC_GAN","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/bunny98/Text-to-Image-Using-GAN","reach":{"status":"ok","spdx":"GPL-3.0"}}],"summary":{"ran_draft_wrong":2},"by_repo_kind":{},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":2,"samples":[{"code_sha256_prefix":"4d1e3c64982eab04","entry":"get_one_hot_targets","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"4d1e3c64982eab04"}},{"code_sha256_prefix":"397670394fa5a63a","entry":"one_hot_encode_str_lbl","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"397670394fa5a63a"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}