{"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/scalable-detailed-and-mask-free-universal","title":"Scalable, Detailed and Mask-Free Universal Photometric Stereo","arxiv_id":"2303.15724","date":"2023-03-28","proceeding":"CVPR 2023 1","authors":["Satoshi Ikehata"],"abstract":"In this paper, we introduce SDM-UniPS, a groundbreaking Scalable, Detailed, Mask-free, and Universal Photometric Stereo network. Our approach can recover astonishingly intricate surface normal maps, rivaling the quality of 3D scanners, even when images are captured under unknown, spatially-varying lighting conditions in uncontrolled environments. We have extended previous universal photometric stereo networks to extract spatial-light features, utilizing all available information in high-resolution input images and accounting for non-local interactions among surface points. Moreover, we present a new synthetic training dataset that encompasses a diverse range of shapes, materials, and illumination scenarios found in real-world scenes. Through extensive evaluation, we demonstrate that our method not only surpasses calibrated, lighting-specific techniques on public benchmarks, but also excels with a significantly smaller number of input images even without object masks.","url_abs":"https://arxiv.org/abs/2303.15724v1","url_pdf":"https://arxiv.org/pdf/2303.15724v1.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":"scalable-detailed-and-mask-free-universal","repo_url":"https://github.com/satoshi-ikehata/sdm-unips-cvpr2023","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[],"methods":[{"method_slug":"high-resolution-input","method_name":"High-resolution input"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2303.15724","atlas_url":"https://app.syntology.ai/?focus=2303.15724","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.15724"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+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/satoshi-ikehata/sdm-unips-cvpr2023","reach":null}],"summary":{"ran":1,"unverified":7},"by_repo_kind":{"official":{"samples":8,"ran":1,"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":8,"samples":[{"code_sha256_prefix":"18c46000813125d3","entry":"PredictionHead","repo":"satoshi-ikehata/sdm-unips-cvpr2023","repo_kind":"official","path":"sdm_unips/modules/model/model.py","file_url":"https://github.com/satoshi-ikehata/sdm-unips-cvpr2023/blob/HEAD/sdm_unips/modules/model/model.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"18c46000813125d3"}},{"code_sha256_prefix":"ab46129d2b2f846c","entry":"GLC_Aggregation","repo":"satoshi-ikehata/sdm-unips-cvpr2023","repo_kind":"official","path":"sdm_unips/modules/model/model.py","file_url":"https://github.com/satoshi-ikehata/sdm-unips-cvpr2023/blob/HEAD/sdm_unips/modules/model/model.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"ab46129d2b2f846c"}},{"code_sha256_prefix":"3d7b3b540b5e04c2","entry":"GLC_Upsample","repo":"satoshi-ikehata/sdm-unips-cvpr2023","repo_kind":"official","path":"sdm_unips/modules/model/model.py","file_url":"https://github.com/satoshi-ikehata/sdm-unips-cvpr2023/blob/HEAD/sdm_unips/modules/model/model.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"3d7b3b540b5e04c2"}},{"code_sha256_prefix":"29ae70b405dc9e43","entry":"ImageFeatureExtractor","repo":"satoshi-ikehata/sdm-unips-cvpr2023","repo_kind":"official","path":"sdm_unips/modules/model/model.py","file_url":"https://github.com/satoshi-ikehata/sdm-unips-cvpr2023/blob/HEAD/sdm_unips/modules/model/model.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"29ae70b405dc9e43"}},{"code_sha256_prefix":"45a21fe9e5c6bcb2","entry":"ImageFeatureFusion","repo":"satoshi-ikehata/sdm-unips-cvpr2023","repo_kind":"official","path":"sdm_unips/modules/model/model.py","file_url":"https://github.com/satoshi-ikehata/sdm-unips-cvpr2023/blob/HEAD/sdm_unips/modules/model/model.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"45a21fe9e5c6bcb2"}},{"code_sha256_prefix":"98f86a99159bc9cb","entry":"Net","repo":"satoshi-ikehata/sdm-unips-cvpr2023","repo_kind":"official","path":"sdm_unips/modules/model/model.py","file_url":"https://github.com/satoshi-ikehata/sdm-unips-cvpr2023/blob/HEAD/sdm_unips/modules/model/model.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"98f86a99159bc9cb"}},{"code_sha256_prefix":"215a8657c68da22c","entry":"Regressor","repo":"satoshi-ikehata/sdm-unips-cvpr2023","repo_kind":"official","path":"sdm_unips/modules/model/model.py","file_url":"https://github.com/satoshi-ikehata/sdm-unips-cvpr2023/blob/HEAD/sdm_unips/modules/model/model.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"215a8657c68da22c"}},{"code_sha256_prefix":"13ca5597f1641766","entry":"ScaleInvariantSpatialLightImageEncoder","repo":"satoshi-ikehata/sdm-unips-cvpr2023","repo_kind":"official","path":"sdm_unips/modules/model/model.py","file_url":"https://github.com/satoshi-ikehata/sdm-unips-cvpr2023/blob/HEAD/sdm_unips/modules/model/model.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"13ca5597f1641766"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}