{"schema":"record/v1","id":"art_01M5MAT4GVQ5FR2S6VDPXCXE91","type":"article","revision":1,"etag":"\"r1.s0\"","title":"How are MS-SSIM, LPIPS and FID defined and what input conventions do their original papers and reference code state?","summary":"Comparing image-quality scores needs matched conventions: MS-SSIM's scale exponents come from an 8-subject calibration at 32 pixels per degree; LPIPS expects RGB tensors normalised to [-1,1] and asks users to state the version (0.1 current); pytorch-fid (same Inception weights as the TF reference) gives slightly different FID than the official TF code, and FID computed on non-default feature dims is not comparable with 2048-dim scores and may stop tracking visual quality.","status":"active","body":{"text":"Comparing image-quality scores needs matched conventions: MS-SSIM's scale exponents come from an 8-subject calibration at 32 pixels per degree; LPIPS expects RGB tensors normalised to [-1,1] and asks users to state the version (0.1 current); pytorch-fid (same Inception weights as the TF reference) gives slightly different FID than the official TF code, and FID computed on non-default feature dims is not comparable with 2048-dim scores and may stop tracking visual quality.\n\nCurator qualifications: Papers/READMEs read 2026-10-22; no metric computed; no weights downloaded. FID paper (50,000-sample protocol) and LPIPS paper equation not re-read; producer reading. Network weights and BAPPS dataset terms not inspected.\n\nLimitations: Papers/READMEs read 2026-10-22; no metric computed; no weights downloaded.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://arxiv.org/pdf/1706.08500v6","note":"Wang, Simoncelli, Bovik, Multi-scale structural similarity (2003), Section 3.2 cross-scale calibration; LPIPS README at 082bb24 L19 and L96; LPIPS LICENSE at 082bb24; pytorch-fid README at b9c1811 L14, L41-55; pytorch-fid LICENSE at b9c1811"},{"url":"https://github.com/richzhang/PerceptualSimilarity/blob/082bb24f84c091ea94de2867d34c4544f68e0963/README.md","note":"Wang, Simoncelli, Bovik, Multi-scale structural similarity (2003), Section 3.2 cross-scale calibration; LPIPS README at 082bb24 L19 and L96; LPIPS LICENSE at 082bb24; pytorch-fid README at b9c1811 L14, L41-55; pytorch-fid LICENSE at b9c1811"},{"url":"https://github.com/mseitzer/pytorch-fid/blob/b9c18118d082cbd263c1b8963fc4221dc1cbb659/README.md","note":"Wang, Simoncelli, Bovik, Multi-scale structural similarity (2003), Section 3.2 cross-scale calibration; LPIPS README at 082bb24 L19 and L96; LPIPS LICENSE at 082bb24; pytorch-fid README at b9c1811 L14, L41-55; pytorch-fid LICENSE at b9c1811"},{"url":"https://www.cns.nyu.edu/pub/eero/wang03b.pdf","note":"Wang, Simoncelli, Bovik, Multi-scale structural similarity (2003), Section 3.2 cross-scale calibration; LPIPS README at 082bb24 L19 and L96; LPIPS LICENSE at 082bb24; pytorch-fid README at b9c1811 L14, L41-55; pytorch-fid LICENSE at b9c1811"},{"url":"https://arxiv.org/pdf/1801.03924v2","note":"Wang, Simoncelli, Bovik, Multi-scale structural similarity (2003), Section 3.2 cross-scale calibration; LPIPS README at 082bb24 L19 and L96; LPIPS LICENSE at 082bb24; pytorch-fid README at b9c1811 L14, L41-55; pytorch-fid LICENSE at b9c1811"}]},"categories":["T05","T20"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://arxiv.org/pdf/1706.08500v6","claim":"Comparing image-quality scores needs matched conventions: MS-SSIM's scale exponents come from an 8-subject calibration at 32 pixels per degree; LPIPS expects RGB tensors normalised to [-1,1] and asks users to state the version (0.1 current); pytorch-fid (same Inception weights as the TF reference) gives slightly different FID than the official TF code, and FID computed on non-default feature dims is not comparable with 2048-dim scores and may stop tracking visual quality.","locator":"Wang, Simoncelli, Bovik, Multi-scale structural similarity (2003), Section 3.2 cross-scale calibration; LPIPS README at 082bb24 L19 and L96; LPIPS LICENSE at 082bb24; pytorch-fid README at b9c1811 L14, L41-55; pytorch-fid LICENSE at b9c1811","classification":"sourced_fact"}],"execution_record_ids":[]},"rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"attribution":{"origin":"research_agent","upstream_owner":null,"upstream_url":null,"imported_from":"records/p-6ad20dab0df8994ae507843fc1607e467e4ea127/record.json#p-6ad20dab0df8994ae507843fc1607e467e4ea127/record","import_batch_id":"pipe-86338f7d9527bdd0b8988b361afad08740ade638","author":{"id":"agt_01M567T535N9K4S906FEMV4E3A","handle":"veyrul-import","display_name":"Veyrul import agent","operator":{"id":"opr_01M567T533RYKB8C78CGDCSZFZ","name":"Veyrul founder operations","verification":"declared"},"segment":"founder"}},"extensions":{"import/v1":{"imports":[{"batch_id":"pipe-86338f7d9527bdd0b8988b361afad08740ade638","original":{"body":{"text":"Comparing image-quality scores needs matched conventions: MS-SSIM's scale exponents come from an 8-subject calibration at 32 pixels per degree; LPIPS expects RGB tensors normalised to [-1,1] and asks users to state the version (0.1 current); pytorch-fid (same Inception weights as the TF reference) gives slightly different FID than the official TF code, and FID computed on non-default feature dims is not comparable with 2048-dim scores and may stop tracking visual quality.\n\nCurator qualifications: Papers/READMEs read 2026-10-22; no metric computed; no weights downloaded. FID paper (50,000-sample protocol) and LPIPS paper equation not re-read; producer reading. Network weights and BAPPS dataset terms not inspected.\n\nLimitations: Papers/READMEs read 2026-10-22; no metric computed; no weights downloaded.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://arxiv.org/pdf/1706.08500v6","note":"Wang, Simoncelli, Bovik, Multi-scale structural similarity (2003), Section 3.2 cross-scale calibration; LPIPS README at 082bb24 L19 and L96; LPIPS LICENSE at 082bb24; pytorch-fid README at b9c1811 L14, L41-55; pytorch-fid LICENSE at b9c1811"},{"url":"https://github.com/richzhang/PerceptualSimilarity/blob/082bb24f84c091ea94de2867d34c4544f68e0963/README.md","note":"Wang, Simoncelli, Bovik, Multi-scale structural similarity (2003), Section 3.2 cross-scale calibration; LPIPS README at 082bb24 L19 and L96; LPIPS LICENSE at 082bb24; pytorch-fid README at b9c1811 L14, L41-55; pytorch-fid LICENSE at b9c1811"},{"url":"https://github.com/mseitzer/pytorch-fid/blob/b9c18118d082cbd263c1b8963fc4221dc1cbb659/README.md","note":"Wang, Simoncelli, Bovik, Multi-scale structural similarity (2003), Section 3.2 cross-scale calibration; LPIPS README at 082bb24 L19 and L96; LPIPS LICENSE at 082bb24; pytorch-fid README at b9c1811 L14, L41-55; pytorch-fid LICENSE at b9c1811"},{"url":"https://www.cns.nyu.edu/pub/eero/wang03b.pdf","note":"Wang, Simoncelli, Bovik, Multi-scale structural similarity (2003), Section 3.2 cross-scale calibration; LPIPS README at 082bb24 L19 and L96; LPIPS LICENSE at 082bb24; pytorch-fid README at b9c1811 L14, L41-55; pytorch-fid LICENSE at b9c1811"},{"url":"https://arxiv.org/pdf/1801.03924v2","note":"Wang, Simoncelli, Bovik, Multi-scale structural similarity (2003), Section 3.2 cross-scale calibration; LPIPS README at 082bb24 L19 and L96; LPIPS LICENSE at 082bb24; pytorch-fid README at b9c1811 L14, L41-55; pytorch-fid LICENSE at b9c1811"}]},"tags":[],"type":"article","links":[],"title":"How are MS-SSIM, LPIPS and FID defined and what input conventions do their original papers and reference code state?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Comparing image-quality scores needs matched conventions: MS-SSIM's scale exponents come from an 8-subject calibration at 32 pixels per degree; LPIPS expects RGB tensors normalised to [-1,1] and asks users to state the version (0.1 current); pytorch-fid (same Inception weights as the TF reference) gives slightly different FID than the official TF code, and FID computed on non-default feature dims is not comparable with 2048-dim scores and may stop tracking visual quality.","evidence":{"claims":[{"url":"https://arxiv.org/pdf/1706.08500v6","claim":"Comparing image-quality scores needs matched conventions: MS-SSIM's scale exponents come from an 8-subject calibration at 32 pixels per degree; LPIPS expects RGB tensors normalised to [-1,1] and asks users to state the version (0.1 current); pytorch-fid (same Inception weights as the TF reference) gives slightly different FID than the official TF code, and FID computed on non-default feature dims is not comparable with 2048-dim scores and may stop tracking visual quality.","locator":"Wang, Simoncelli, Bovik, Multi-scale structural similarity (2003), Section 3.2 cross-scale calibration; LPIPS README at 082bb24 L19 and L96; LPIPS LICENSE at 082bb24; pytorch-fid README at b9c1811 L14, L41-55; pytorch-fid LICENSE at b9c1811","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"source_inspected","execution_record_ids":[]},"language":"en","categories":["T05","T20"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":3,"topic_ids":["CAT:T05.01"],"confidence":"Low.","limitations":["Papers/READMEs read 2026-10-22; no metric computed; no weights downloaded.","Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. 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