{"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/ffc-bn-act","entry":"FFC_BN_ACT","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":5,"n_papers_ran":2,"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":5,"n_samples_ran":2,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":2,"unverified":3},"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":"2602.03013","paper":"/paper/arxiv-2602-03013","title":"Thinking inside the Convolution for Image Inpainting: Reconstructing Texture via Structure under Global and Local Side","date":null,"month_inferred_from_arxiv_id":"2026-02","title_source":"syntology","repo":"htyjers/ConvInpaint-TSGL","path":"TSGL_Lama/train/model.py","file_url":"https://github.com/htyjers/ConvInpaint-TSGL/blob/HEAD/TSGL_Lama/train/model.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"c094f5f943b8669f","mcp_get_code":{"code_sha256":"c094f5f943b8669f"}},{"arxiv_id":"2411.07231","paper":"/paper/watermark-anything-with-localized-messages","title":"Watermark Anything with Localized Messages","date":"2024-11-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"advimman/lama","path":"saicinpainting/training/modules/pix2pixhd.py","file_url":"https://github.com/advimman/lama/blob/HEAD/saicinpainting/training/modules/pix2pixhd.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"9654be1ceb1764d3","mcp_get_code":{"code_sha256":"9654be1ceb1764d3"}},{"arxiv_id":"2405.05663","paper":"/paper/rpbg-towards-robust-neural-point-based","title":"RPBG: Towards Robust Neural Point-based Graphics in the Wild","date":"2024-05-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"QT-Zhu/RPBG","path":"RPBG/models/mimounet.py","file_url":"https://github.com/QT-Zhu/RPBG/blob/HEAD/RPBG/models/mimounet.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"1fdc8eec4ba8e86d","mcp_get_code":{"code_sha256":"1fdc8eec4ba8e86d"}},{"arxiv_id":"2303.08524","paper":"/paper/coordfill-efficient-high-resolution-image","title":"CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying","date":"2023-03-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"NiFangBaAGe/CoordFill","path":"models/coordfill.py","file_url":"https://github.com/NiFangBaAGe/CoordFill/blob/HEAD/models/coordfill.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"code_sha256_prefix":"1fbf7982390f137b","mcp_get_code":{"code_sha256":"1fbf7982390f137b"}},{"arxiv_id":"2208.01837","paper":"/paper/learning-prior-feature-and-attention-enhanced","title":"Learning Prior Feature and Attention Enhanced Image Inpainting","date":"2022-08-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ewrfcas/MAE-FAR","path":"ACR/networks/generators.py","file_url":"https://github.com/ewrfcas/MAE-FAR/blob/HEAD/ACR/networks/generators.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"89fdcce3884bdbb0","mcp_get_code":{"code_sha256":"89fdcce3884bdbb0"}}]}