{"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":"/code/downblock2d","entry":"DownBlock2d","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"},"n_papers":6,"n_papers_ran":4,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":6,"n_samples_ran":4,"n_samples_fingerprinted":1,"n_places":6,"n_places_pointer_only":4,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":4,"unverified":2},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2303.03988","paper":"/paper/dinet-deformation-inpainting-network-for","title":"DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video","date":"2023-03-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"MRzzm/DINet","path":"models/DINet.py","file_url":"https://github.com/MRzzm/DINet/blob/HEAD/models/DINet.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"a8f2018c9ab29c73","mcp_get_code":{"code_sha256":"a8f2018c9ab29c73"}},{"arxiv_id":"2207.10123","paper":"/paper/animation-from-blur-multi-modal-blur","title":"Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance","date":"2022-07-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zzh-tech/Animation-from-Blur","path":"model/MBD.py","file_url":"https://github.com/zzh-tech/Animation-from-Blur/blob/HEAD/model/MBD.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"3d7b854703b0bac6","mcp_get_code":{"code_sha256":"3d7b854703b0bac6"}},{"arxiv_id":"2204.05018","paper":"/paper/structure-aware-motion-transfer-with","title":"Structure-Aware Motion Transfer with Deformable Anchor Model","date":"2022-04-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jialetao/dam","path":"modules/dense_motion.py","file_url":"https://github.com/jialetao/dam/blob/HEAD/modules/dense_motion.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"411945108ea6ce5f","mcp_get_code":{"code_sha256":"411945108ea6ce5f"}},{"arxiv_id":"2203.14367","paper":"/paper/thin-plate-spline-motion-model-for-image","title":"Thin-Plate Spline Motion Model for Image Animation","date":"2022-03-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"yoyo-nb/thin-plate-spline-motion-model","path":"modules/dense_motion.py","file_url":"https://github.com/yoyo-nb/thin-plate-spline-motion-model/blob/HEAD/modules/dense_motion.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"26141a5132dd41c8","mcp_get_code":{"code_sha256":"26141a5132dd41c8"}},{"arxiv_id":"2109.08379","paper":"/paper/pirenderer-controllable-portrait-image","title":"PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering","date":"2021-09-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"RenYurui/PIRender","path":"generators/face_model.py","file_url":"https://github.com/RenYurui/PIRender/blob/HEAD/generators/face_model.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"c18b2e5c9767b5a1","mcp_get_code":{"code_sha256":"c18b2e5c9767b5a1"}},{"arxiv_id":"2003.00196","paper":"/paper/first-order-motion-model-for-image-animation-1","title":"First Order Motion Model for Image Animation","date":"2020-02-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"AliaksandrSiarohin/first-order-model","path":"modules/dense_motion.py","file_url":"https://github.com/AliaksandrSiarohin/first-order-model/blob/HEAD/modules/dense_motion.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"c7c16f0f3d5ecdfb","mcp_get_code":{"code_sha256":"c7c16f0f3d5ecdfb"}}]}