{"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/marionette-self-supervised-sprite-learning","title":"MarioNette: Self-Supervised Sprite Learning","arxiv_id":"2104.14553","date":"2021-04-29","proceeding":"NeurIPS 2021 12","authors":["Dmitriy Smirnov","Michael Gharbi","Matthew Fisher","Vitor Guizilini","Alexei A. Efros","Justin Solomon"],"abstract":"Artists and video game designers often construct 2D animations using libraries of sprites -- textured patches of objects and characters. We propose a deep learning approach that decomposes sprite-based video animations into a disentangled representation of recurring graphic elements in a self-supervised manner. By jointly learning a dictionary of possibly transparent patches and training a network that places them onto a canvas, we deconstruct sprite-based content into a sparse, consistent, and explicit representation that can be easily used in downstream tasks, like editing or analysis. Our framework offers a promising approach for discovering recurring visual patterns in image collections without supervision.","url_abs":"https://arxiv.org/abs/2104.14553v2","url_pdf":"https://arxiv.org/pdf/2104.14553v2.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":"marionette-self-supervised-sprite-learning","repo_url":"https://github.com/dmsm/MarioNette","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2104.14553","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2104.14553"}},"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/dmsm/MarioNette","reach":null}],"summary":{"ran":3,"unverified":1},"by_repo_kind":{"official":{"samples":4,"ran":3,"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":"0a541cdd2d2dc180","entry":"Encoder","repo":"dmsm/MarioNette","repo_kind":"official","path":"marionet/models.py","file_url":"https://github.com/dmsm/MarioNette/blob/HEAD/marionet/models.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"0a541cdd2d2dc180"}},{"code_sha256_prefix":"50950d49c98aba26","entry":"PartialConv2d","repo":"dmsm/MarioNette","repo_kind":"official","path":"marionet/models.py","file_url":"https://github.com/dmsm/MarioNette/blob/HEAD/marionet/models.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"50950d49c98aba26"}},{"code_sha256_prefix":"602d08ad4c4eb044","entry":"_DownBlock","repo":"dmsm/MarioNette","repo_kind":"official","path":"marionet/models.py","file_url":"https://github.com/dmsm/MarioNette/blob/HEAD/marionet/models.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"602d08ad4c4eb044"}},{"code_sha256_prefix":"e472d975053d1a94","entry":"Model","repo":"dmsm/MarioNette","repo_kind":"official","path":"marionet/models.py","file_url":"https://github.com/dmsm/MarioNette/blob/HEAD/marionet/models.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e472d975053d1a94"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}