{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ERDDLI6VI6FTEBOT7AYD45T6JI","short_pith_number":"pith:ERDDLI6V","canonical_record":{"source":{"id":"2402.19197","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-29T14:26:46Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"bef89c1ab9542e4fca42a9c2c4be827883886e27f8231d5785af6b795f4b65c7","abstract_canon_sha256":"7b31c98e900286f476f8c06b7c4f6a0f36983ad3a1fa084045104f455937d281"},"schema_version":"1.0"},"canonical_sha256":"244635a3d5478b3205d3f8303e767e4a0cfb19fcf04b307c6cd1feb40e27d982","source":{"kind":"arxiv","id":"2402.19197","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.19197","created_at":"2026-07-05T09:33:29Z"},{"alias_kind":"arxiv_version","alias_value":"2402.19197v2","created_at":"2026-07-05T09:33:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.19197","created_at":"2026-07-05T09:33:29Z"},{"alias_kind":"pith_short_12","alias_value":"ERDDLI6VI6FT","created_at":"2026-07-05T09:33:29Z"},{"alias_kind":"pith_short_16","alias_value":"ERDDLI6VI6FTEBOT","created_at":"2026-07-05T09:33:29Z"},{"alias_kind":"pith_short_8","alias_value":"ERDDLI6V","created_at":"2026-07-05T09:33:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ERDDLI6VI6FTEBOT7AYD45T6JI","target":"record","payload":{"canonical_record":{"source":{"id":"2402.19197","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-29T14:26:46Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"bef89c1ab9542e4fca42a9c2c4be827883886e27f8231d5785af6b795f4b65c7","abstract_canon_sha256":"7b31c98e900286f476f8c06b7c4f6a0f36983ad3a1fa084045104f455937d281"},"schema_version":"1.0"},"canonical_sha256":"244635a3d5478b3205d3f8303e767e4a0cfb19fcf04b307c6cd1feb40e27d982","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:33:29.305413Z","signature_b64":"D3ScH5++iWSPySBoC7PzCnXYlYvIpF6V+u+D2At4fx2qc/JOTfQITiUNjzgDZfeoWha5S6QZlh3ECC9y+AwKCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"244635a3d5478b3205d3f8303e767e4a0cfb19fcf04b307c6cd1feb40e27d982","last_reissued_at":"2026-07-05T09:33:29.304926Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:33:29.304926Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.19197","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:33:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4No6ZRfjQWw3m5CBatpNESPfxspfOwhRyWuffWzlwIWwOwgehPfBO9h/pIFB1ZB9MsRzaiCyAa1UFEOl1T9IAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T15:34:25.808067Z"},"content_sha256":"b16310ae5930c216a28ceb684f34281db2fa27ae24ceb97e673ebfc76338e9f8","schema_version":"1.0","event_id":"sha256:b16310ae5930c216a28ceb684f34281db2fa27ae24ceb97e673ebfc76338e9f8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ERDDLI6VI6FTEBOT7AYD45T6JI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Chuan Sheng Foo, Fayao Liu, Guosheng Lin, Kennard Yanting Chan, Weisi Lin","submitted_at":"2024-02-29T14:26:46Z","abstract_excerpt":"Pixel-aligned implicit models, such as PIFu, PIFuHD, and ICON, are used for single-view clothed human reconstruction. These models need to be trained using a sampling training scheme. Existing sampling training schemes either fail to capture thin surfaces (e.g. ears, fingers) or cause noisy artefacts in reconstructed meshes. To address these problems, we introduce Fine Structured-Aware Sampling (FSS), a new sampling training scheme to train pixel-aligned implicit models for single-view human reconstruction. FSS resolves the aforementioned problems by proactively adapting to the thickness and c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.19197","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2402.19197/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:33:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IajG+Jp1iNAV4u735dk7TasvyCflqGZrszqE5F5jI815aySdU9WT2pZS1Gp7cLLxvUr1J+rIx5m2kV3JWTmoCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T15:34:25.808447Z"},"content_sha256":"dd41be2bbbc7952c2a6be66e0e5793884aa53367cfbf328afe9c7b491672dbff","schema_version":"1.0","event_id":"sha256:dd41be2bbbc7952c2a6be66e0e5793884aa53367cfbf328afe9c7b491672dbff"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ERDDLI6VI6FTEBOT7AYD45T6JI/bundle.json","state_url":"https://pith.science/pith/ERDDLI6VI6FTEBOT7AYD45T6JI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ERDDLI6VI6FTEBOT7AYD45T6JI/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-23T15:34:25Z","links":{"resolver":"https://pith.science/pith/ERDDLI6VI6FTEBOT7AYD45T6JI","bundle":"https://pith.science/pith/ERDDLI6VI6FTEBOT7AYD45T6JI/bundle.json","state":"https://pith.science/pith/ERDDLI6VI6FTEBOT7AYD45T6JI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ERDDLI6VI6FTEBOT7AYD45T6JI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ERDDLI6VI6FTEBOT7AYD45T6JI","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"7b31c98e900286f476f8c06b7c4f6a0f36983ad3a1fa084045104f455937d281","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-29T14:26:46Z","title_canon_sha256":"bef89c1ab9542e4fca42a9c2c4be827883886e27f8231d5785af6b795f4b65c7"},"schema_version":"1.0","source":{"id":"2402.19197","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.19197","created_at":"2026-07-05T09:33:29Z"},{"alias_kind":"arxiv_version","alias_value":"2402.19197v2","created_at":"2026-07-05T09:33:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.19197","created_at":"2026-07-05T09:33:29Z"},{"alias_kind":"pith_short_12","alias_value":"ERDDLI6VI6FT","created_at":"2026-07-05T09:33:29Z"},{"alias_kind":"pith_short_16","alias_value":"ERDDLI6VI6FTEBOT","created_at":"2026-07-05T09:33:29Z"},{"alias_kind":"pith_short_8","alias_value":"ERDDLI6V","created_at":"2026-07-05T09:33:29Z"}],"graph_snapshots":[{"event_id":"sha256:dd41be2bbbc7952c2a6be66e0e5793884aa53367cfbf328afe9c7b491672dbff","target":"graph","created_at":"2026-07-05T09:33:29Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2402.19197/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Pixel-aligned implicit models, such as PIFu, PIFuHD, and ICON, are used for single-view clothed human reconstruction. These models need to be trained using a sampling training scheme. Existing sampling training schemes either fail to capture thin surfaces (e.g. ears, fingers) or cause noisy artefacts in reconstructed meshes. To address these problems, we introduce Fine Structured-Aware Sampling (FSS), a new sampling training scheme to train pixel-aligned implicit models for single-view human reconstruction. FSS resolves the aforementioned problems by proactively adapting to the thickness and c","authors_text":"Chuan Sheng Foo, Fayao Liu, Guosheng Lin, Kennard Yanting Chan, Weisi Lin","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-29T14:26:46Z","title":"Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.19197","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b16310ae5930c216a28ceb684f34281db2fa27ae24ceb97e673ebfc76338e9f8","target":"record","created_at":"2026-07-05T09:33:29Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"7b31c98e900286f476f8c06b7c4f6a0f36983ad3a1fa084045104f455937d281","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-29T14:26:46Z","title_canon_sha256":"bef89c1ab9542e4fca42a9c2c4be827883886e27f8231d5785af6b795f4b65c7"},"schema_version":"1.0","source":{"id":"2402.19197","kind":"arxiv","version":2}},"canonical_sha256":"244635a3d5478b3205d3f8303e767e4a0cfb19fcf04b307c6cd1feb40e27d982","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"244635a3d5478b3205d3f8303e767e4a0cfb19fcf04b307c6cd1feb40e27d982","first_computed_at":"2026-07-05T09:33:29.304926Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:33:29.304926Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D3ScH5++iWSPySBoC7PzCnXYlYvIpF6V+u+D2At4fx2qc/JOTfQITiUNjzgDZfeoWha5S6QZlh3ECC9y+AwKCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:33:29.305413Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.19197","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b16310ae5930c216a28ceb684f34281db2fa27ae24ceb97e673ebfc76338e9f8","sha256:dd41be2bbbc7952c2a6be66e0e5793884aa53367cfbf328afe9c7b491672dbff"],"state_sha256":"ad32204ab14a5c07df8dcd5a87bca4ad377bc5228ca84e5e5a092a955a708509"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B9dH7JjIa1dV5czN9t9NvVu+eST/YdyKLbxso3sncX0wiDIj3/nV3OlJ4cxNFu9nHpu/dVGJReIpAdcc1WOECw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T15:34:25.811117Z","bundle_sha256":"25738e8db9a80b2e4b8a91b39f930cafda9fe0de60b9e9b351b9a518d49eec5e"}}