{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:EKBVCHTQZ5Q6UANOBUN7GJ5QUI","short_pith_number":"pith:EKBVCHTQ","canonical_record":{"source":{"id":"2007.10867","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-20T13:40:15Z","cross_cats_sorted":[],"title_canon_sha256":"4b8bcddf2a8062ed571238e5b3c6073dbfc5368dace3de01a18ed71b888a4228","abstract_canon_sha256":"463f3042fa1a958221325d3a6da7685b0430180a1aa230a0c9fdc466d3739a50"},"schema_version":"1.0"},"canonical_sha256":"2283511e70cf61ea01ae0d1bf327b0a23ae096bb662139a2e18d97efd4f22346","source":{"kind":"arxiv","id":"2007.10867","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.10867","created_at":"2026-07-05T01:21:12Z"},{"alias_kind":"arxiv_version","alias_value":"2007.10867v1","created_at":"2026-07-05T01:21:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.10867","created_at":"2026-07-05T01:21:12Z"},{"alias_kind":"pith_short_12","alias_value":"EKBVCHTQZ5Q6","created_at":"2026-07-05T01:21:12Z"},{"alias_kind":"pith_short_16","alias_value":"EKBVCHTQZ5Q6UANO","created_at":"2026-07-05T01:21:12Z"},{"alias_kind":"pith_short_8","alias_value":"EKBVCHTQ","created_at":"2026-07-05T01:21:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:EKBVCHTQZ5Q6UANOBUN7GJ5QUI","target":"record","payload":{"canonical_record":{"source":{"id":"2007.10867","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-20T13:40:15Z","cross_cats_sorted":[],"title_canon_sha256":"4b8bcddf2a8062ed571238e5b3c6073dbfc5368dace3de01a18ed71b888a4228","abstract_canon_sha256":"463f3042fa1a958221325d3a6da7685b0430180a1aa230a0c9fdc466d3739a50"},"schema_version":"1.0"},"canonical_sha256":"2283511e70cf61ea01ae0d1bf327b0a23ae096bb662139a2e18d97efd4f22346","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:21:12.915754Z","signature_b64":"AT1QkygOkgSCKxS36P6YpjOQCFWgSVkWkNCzJhYjiTH1i2VAsUAKHAJkSxahyLpyrQEJBQ+CBA9PkqjQzpE8Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2283511e70cf61ea01ae0d1bf327b0a23ae096bb662139a2e18d97efd4f22346","last_reissued_at":"2026-07-05T01:21:12.915284Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:21:12.915284Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.10867","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:21:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UxmCl9f7Dk+ERjbKxDP2mNGZmfVgscL3wA2bT4mXkjLKBAjnqUczMtjTFwQPu0dnxbj0379tnts+WcCXU1vTDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T09:18:44.587716Z"},"content_sha256":"f0f737067f5eabcb416a8be76dacf1789793856f551beddb5cee7b0c4ec070fa","schema_version":"1.0","event_id":"sha256:f0f737067f5eabcb416a8be76dacf1789793856f551beddb5cee7b0c4ec070fa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:EKBVCHTQZ5Q6UANOBUN7GJ5QUI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Amrollah Seifoddini, Erhan Gundogdu, Mathieu Salzmann, Minh Dang, Pascal Fua, Shaifali Parashar, Victor Constantin","submitted_at":"2020-07-20T13:40:15Z","abstract_excerpt":"In this paper, we tackle the problem of static 3D cloth draping on virtual human bodies. We introduce a two-stream deep network model that produces a visually plausible draping of a template cloth on virtual 3D bodies by extracting features from both the body and garment shapes. Our network learns to mimic a Physics-Based Simulation (PBS) method while requiring two orders of magnitude less computation time. To train the network, we introduce loss terms inspired by PBS to produce plausible results and make the model collision-aware. To increase the details of the draped garment, we introduce tw"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.10867","kind":"arxiv","version":1},"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/2007.10867/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":"2026-07-05T01:21:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0FIoy9bmCW3sT/oMfH8/NaRX85lJABiV9mHrXWhWFnxaX3ESTD5D7PskdaZmMWP5PAC8So1DSxQUW/po258zBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T09:18:44.588098Z"},"content_sha256":"c0c6bc2960b93d9092987f9c1c52894ba2872a8b0e55f232cf4002602896d48f","schema_version":"1.0","event_id":"sha256:c0c6bc2960b93d9092987f9c1c52894ba2872a8b0e55f232cf4002602896d48f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EKBVCHTQZ5Q6UANOBUN7GJ5QUI/bundle.json","state_url":"https://pith.science/pith/EKBVCHTQZ5Q6UANOBUN7GJ5QUI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EKBVCHTQZ5Q6UANOBUN7GJ5QUI/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":"2026-07-05T09:18:44Z","links":{"resolver":"https://pith.science/pith/EKBVCHTQZ5Q6UANOBUN7GJ5QUI","bundle":"https://pith.science/pith/EKBVCHTQZ5Q6UANOBUN7GJ5QUI/bundle.json","state":"https://pith.science/pith/EKBVCHTQZ5Q6UANOBUN7GJ5QUI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EKBVCHTQZ5Q6UANOBUN7GJ5QUI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:EKBVCHTQZ5Q6UANOBUN7GJ5QUI","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":"463f3042fa1a958221325d3a6da7685b0430180a1aa230a0c9fdc466d3739a50","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-20T13:40:15Z","title_canon_sha256":"4b8bcddf2a8062ed571238e5b3c6073dbfc5368dace3de01a18ed71b888a4228"},"schema_version":"1.0","source":{"id":"2007.10867","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.10867","created_at":"2026-07-05T01:21:12Z"},{"alias_kind":"arxiv_version","alias_value":"2007.10867v1","created_at":"2026-07-05T01:21:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.10867","created_at":"2026-07-05T01:21:12Z"},{"alias_kind":"pith_short_12","alias_value":"EKBVCHTQZ5Q6","created_at":"2026-07-05T01:21:12Z"},{"alias_kind":"pith_short_16","alias_value":"EKBVCHTQZ5Q6UANO","created_at":"2026-07-05T01:21:12Z"},{"alias_kind":"pith_short_8","alias_value":"EKBVCHTQ","created_at":"2026-07-05T01:21:12Z"}],"graph_snapshots":[{"event_id":"sha256:c0c6bc2960b93d9092987f9c1c52894ba2872a8b0e55f232cf4002602896d48f","target":"graph","created_at":"2026-07-05T01:21:12Z","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/2007.10867/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we tackle the problem of static 3D cloth draping on virtual human bodies. We introduce a two-stream deep network model that produces a visually plausible draping of a template cloth on virtual 3D bodies by extracting features from both the body and garment shapes. Our network learns to mimic a Physics-Based Simulation (PBS) method while requiring two orders of magnitude less computation time. To train the network, we introduce loss terms inspired by PBS to produce plausible results and make the model collision-aware. To increase the details of the draped garment, we introduce tw","authors_text":"Amrollah Seifoddini, Erhan Gundogdu, Mathieu Salzmann, Minh Dang, Pascal Fua, Shaifali Parashar, Victor Constantin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-20T13:40:15Z","title":"GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.10867","kind":"arxiv","version":1},"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:f0f737067f5eabcb416a8be76dacf1789793856f551beddb5cee7b0c4ec070fa","target":"record","created_at":"2026-07-05T01:21:12Z","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":"463f3042fa1a958221325d3a6da7685b0430180a1aa230a0c9fdc466d3739a50","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-20T13:40:15Z","title_canon_sha256":"4b8bcddf2a8062ed571238e5b3c6073dbfc5368dace3de01a18ed71b888a4228"},"schema_version":"1.0","source":{"id":"2007.10867","kind":"arxiv","version":1}},"canonical_sha256":"2283511e70cf61ea01ae0d1bf327b0a23ae096bb662139a2e18d97efd4f22346","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2283511e70cf61ea01ae0d1bf327b0a23ae096bb662139a2e18d97efd4f22346","first_computed_at":"2026-07-05T01:21:12.915284Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:21:12.915284Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AT1QkygOkgSCKxS36P6YpjOQCFWgSVkWkNCzJhYjiTH1i2VAsUAKHAJkSxahyLpyrQEJBQ+CBA9PkqjQzpE8Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:21:12.915754Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.10867","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f0f737067f5eabcb416a8be76dacf1789793856f551beddb5cee7b0c4ec070fa","sha256:c0c6bc2960b93d9092987f9c1c52894ba2872a8b0e55f232cf4002602896d48f"],"state_sha256":"864b506d33a255511f67aa0238471460407416b877424273f6a85d681a6de5ee"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+vHR/jlHiWC10HG2dvsohlKwxYaP0Q4WVxiGBDLMbvfMV/8sxyVhgi/r/4KqbpVN+Or1+1WcXNmgct+YBOzkAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T09:18:44.590186Z","bundle_sha256":"9bf0ef98180f250e008ede2b4128a6149de16df4ff0cad337709b9c5f67ccc62"}}