{"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/normpred","entry":"normPRED","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":5,"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":1,"n_samples_ran":1,"n_samples_fingerprinted":1,"n_places":5,"n_places_pointer_only":1,"by_status":{"ran_honours":1,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":0,"unverified":0},"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":"2502.19894","paper":"/paper/high-fidelity-relightable-monocular-portrait","title":"High-Fidelity Relightable Monocular Portrait Animation with Lighting-Controllable Video Diffusion Model","date":"2025-02-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"MingtaoGuo/Relightable-Portrait-Animation","path":"src/facematting/u2net_matting.py","file_url":"https://github.com/MingtaoGuo/Relightable-Portrait-Animation/blob/HEAD/src/facematting/u2net_matting.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"89e4412c100b0f9b","mcp_get_code":{"code_sha256":"89e4412c100b0f9b"}},{"arxiv_id":"2411.11045","paper":"/paper/stablev2v-stablizing-shape-consistency-in","title":"StableV2V: Stablizing Shape Consistency in Video-to-Video Editing","date":"2024-11-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"alonzoleeeooo/stablev2v","path":"runners/u2net_saliency_detection_runner.py","file_url":"https://github.com/alonzoleeeooo/stablev2v/blob/HEAD/runners/u2net_saliency_detection_runner.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"89e4412c100b0f9b","mcp_get_code":{"code_sha256":"89e4412c100b0f9b"}},{"arxiv_id":"2308.02097","paper":"/paper/multi-interactive-feature-learning-and-a-full","title":"Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation","date":"2023-08-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"runjia0124/coconet","path":"utils/save_image.py","file_url":"https://github.com/runjia0124/coconet/blob/HEAD/utils/save_image.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"89e4412c100b0f9b","mcp_get_code":{"code_sha256":"89e4412c100b0f9b"}},{"arxiv_id":"2101.04704","paper":"/paper/boundary-aware-segmentation-network-for","title":"Boundary-Aware Segmentation Network for Mobile and Web Applications","date":"2021-01-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":null,"path":"","file_url":null,"status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":null,"inline_ok":false,"code_sha256_prefix":"89e4412c100b0f9b","mcp_get_code":{"code_sha256":"89e4412c100b0f9b"}},{"arxiv_id":"2005.09007","paper":"/paper/u-2-net-going-deeper-with-nested-u-structure","title":"U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection","date":"2020-05-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"hhaAndroid/u2net","path":"u2net_test.py","file_url":"https://github.com/hhaAndroid/u2net/blob/HEAD/u2net_test.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"89e4412c100b0f9b","mcp_get_code":{"code_sha256":"89e4412c100b0f9b"}}]}