{"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/draw-gaussian","entry":"draw_gaussian","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":0,"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":0,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":0,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":0,"unverified":5},"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":"2109.04153","paper":"/paper/single-image-3d-object-estimation-with","title":"Single Image 3D Object Estimation with Primitive Graph Networks","date":"2021-09-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"hailieqh/3d-object-primitive-graph","path":"3dprnn_pytorch/lib/datasets/kp_dataset.py","file_url":"https://github.com/hailieqh/3d-object-primitive-graph/blob/HEAD/3dprnn_pytorch/lib/datasets/kp_dataset.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"a7524a9a8870fb15","mcp_get_code":{"code_sha256":"a7524a9a8870fb15"}},{"arxiv_id":"2007.04118","paper":"/paper/delving-into-the-adversarial-robustness-on","title":"RobFR: Benchmarking Adversarial Robustness on Face Recognition","date":"2020-07-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ShawnXYang/Face-Robustness-Benchmark","path":"RobFR/attack/face_landmark.py","file_url":"https://github.com/ShawnXYang/Face-Robustness-Benchmark/blob/HEAD/RobFR/attack/face_landmark.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":"37f16a7ffcbc8b0d","mcp_get_code":{"code_sha256":"37f16a7ffcbc8b0d"}},{"arxiv_id":"2005.08209","paper":"/paper/learning-individual-speaking-styles-for","title":"Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis","date":"2020-05-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Rudrabha/Lip2Wav","path":"face_detection/utils.py","file_url":"https://github.com/Rudrabha/Lip2Wav/blob/HEAD/face_detection/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"428bab6c5fe3195e","mcp_get_code":{"code_sha256":"428bab6c5fe3195e"}},{"arxiv_id":"1904.07399","paper":"/paper/adaptive-wing-loss-for-robust-face-alignment","title":"Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression","date":"2019-04-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"protossw512/AdaptiveWingLoss","path":"utils/utils.py","file_url":"https://github.com/protossw512/AdaptiveWingLoss/blob/HEAD/utils/utils.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":"d5a717a5a0d0df17","mcp_get_code":{"code_sha256":"d5a717a5a0d0df17"}},{"arxiv_id":"1703.07332","paper":"/paper/how-far-are-we-from-solving-the-2d-3d-face","title":"How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)","date":"2017-03-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"1adrianb/face-alignment","path":"face_alignment/utils.py","file_url":"https://github.com/1adrianb/face-alignment/blob/HEAD/face_alignment/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"code_sha256_prefix":"e06cb5e221fe3fb8","mcp_get_code":{"code_sha256":"e06cb5e221fe3fb8"}}]}