{"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/a-learned-representation-for-scalable-vector","title":"A Learned Representation for Scalable Vector Graphics","arxiv_id":"1904.02632","date":"2019-04-04","proceeding":"ICCV 2019 10","authors":["Raphael Gontijo Lopes","David Ha","Douglas Eck","Jonathon Shlens"],"abstract":"Dramatic advances in generative models have resulted in near photographic\nquality for artificially rendered faces, animals and other objects in the\nnatural world. In spite of such advances, a higher level understanding of\nvision and imagery does not arise from exhaustively modeling an object, but\ninstead identifying higher-level attributes that best summarize the aspects of\nan object. In this work we attempt to model the drawing process of fonts by\nbuilding sequential generative models of vector graphics. This model has the\nbenefit of providing a scale-invariant representation for imagery whose latent\nrepresentation may be systematically manipulated and exploited to perform style\npropagation. We demonstrate these results on a large dataset of fonts and\nhighlight how such a model captures the statistical dependencies and richness\nof this dataset. We envision that our model can find use as a tool for graphic\ndesigners to facilitate font design.","url_abs":"http://arxiv.org/abs/1904.02632v1","url_pdf":"http://arxiv.org/pdf/1904.02632v1.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":"a-learned-representation-for-scalable-vector","repo_url":"https://github.com/JackBurdick/svg","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"a-learned-representation-for-scalable-vector","repo_url":"https://github.com/tensorflow/magenta/tree/master/magenta/models/svg_vae","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"vector-graphics","task_name":"Vector Graphics"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1904.02632","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1904.02632"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+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/tensorflow/magenta/tree/master/magenta/models/svg_vae","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/JackBurdick/svg","reach":{"status":"ok"}}],"summary":{"unverified":14},"by_repo_kind":{"listed":{"samples":14,"ran":0,"repositories":1}},"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":0,"samples":[{"code_sha256_prefix":"851a75d666999e50","entry":"batch","repo":"tensorflow/magenta","repo_kind":"listed","path":"magenta/common/state_util.py","file_url":"https://github.com/tensorflow/magenta/blob/HEAD/magenta/common/state_util.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"851a75d666999e50"}},{"code_sha256_prefix":"fc965e87e24dc01d","entry":"beam_search","repo":"tensorflow/magenta","repo_kind":"listed","path":"magenta/common/beam_search.py","file_url":"https://github.com/tensorflow/magenta/blob/HEAD/magenta/common/beam_search.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"fc965e87e24dc01d"}},{"code_sha256_prefix":"81e8010ff4bdf083","entry":"bernoulli_sample","repo":"tensorflow/magenta","repo_kind":"listed","path":"magenta/contrib/seq2seq.py","file_url":"https://github.com/tensorflow/magenta/blob/HEAD/magenta/contrib/seq2seq.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"81e8010ff4bdf083"}},{"code_sha256_prefix":"a2c9cba2b7f47fee","entry":"categorical_sample","repo":"tensorflow/magenta","repo_kind":"listed","path":"magenta/contrib/seq2seq.py","file_url":"https://github.com/tensorflow/magenta/blob/HEAD/magenta/contrib/seq2seq.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"a2c9cba2b7f47fee"}},{"code_sha256_prefix":"bc6f9dfce1745ff3","entry":"count_records","repo":"tensorflow/magenta","repo_kind":"listed","path":"magenta/common/sequence_example_lib.py","file_url":"https://github.com/tensorflow/magenta/blob/HEAD/magenta/common/sequence_example_lib.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"bc6f9dfce1745ff3"}},{"code_sha256_prefix":"51c03ee8f4639255","entry":"extract_state","repo":"tensorflow/magenta","repo_kind":"listed","path":"magenta/common/state_util.py","file_url":"https://github.com/tensorflow/magenta/blob/HEAD/magenta/common/state_util.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"51c03ee8f4639255"}},{"code_sha256_prefix":"b18b2512140259f5","entry":"flatten_maybe_padded_sequences","repo":"tensorflow/magenta","repo_kind":"listed","path":"magenta/common/sequence_example_lib.py","file_url":"https://github.com/tensorflow/magenta/blob/HEAD/magenta/common/sequence_example_lib.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"b18b2512140259f5"}},{"code_sha256_prefix":"87e4795b86846544","entry":"get_padded_batch","repo":"tensorflow/magenta","repo_kind":"listed","path":"magenta/common/sequence_example_lib.py","file_url":"https://github.com/tensorflow/magenta/blob/HEAD/magenta/common/sequence_example_lib.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"87e4795b86846544"}},{"code_sha256_prefix":"b3b4d407f8e308ab","entry":"log_loss","repo":"tensorflow/magenta","repo_kind":"listed","path":"magenta/common/tf_utils.py","file_url":"https://github.com/tensorflow/magenta/blob/HEAD/magenta/common/tf_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"b3b4d407f8e308ab"}},{"code_sha256_prefix":"a5f2e04a36847fd6","entry":"parse_test_proto","repo":"tensorflow/magenta","repo_kind":"listed","path":"magenta/common/testing_lib.py","file_url":"https://github.com/tensorflow/magenta/blob/HEAD/magenta/common/testing_lib.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"a5f2e04a36847fd6"}},{"code_sha256_prefix":"24e465e31f8d0cf9","entry":"parse_values","repo":"tensorflow/magenta","repo_kind":"listed","path":"magenta/contrib/training.py","file_url":"https://github.com/tensorflow/magenta/blob/HEAD/magenta/contrib/training.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"24e465e31f8d0cf9"}},{"code_sha256_prefix":"51cf513fe9f6c28e","entry":"serialized","repo":"tensorflow/magenta","repo_kind":"listed","path":"magenta/common/concurrency.py","file_url":"https://github.com/tensorflow/magenta/blob/HEAD/magenta/common/concurrency.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"51cf513fe9f6c28e"}},{"code_sha256_prefix":"cde17b796202395c","entry":"stack_bidirectional_dynamic_rnn","repo":"tensorflow/magenta","repo_kind":"listed","path":"magenta/contrib/rnn.py","file_url":"https://github.com/tensorflow/magenta/blob/HEAD/magenta/contrib/rnn.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"cde17b796202395c"}},{"code_sha256_prefix":"d64893e1f8ad90cf","entry":"unbatch","repo":"tensorflow/magenta","repo_kind":"listed","path":"magenta/common/state_util.py","file_url":"https://github.com/tensorflow/magenta/blob/HEAD/magenta/common/state_util.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"d64893e1f8ad90cf"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}