{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:GGS5RCL54K6WKFVDX5IM7EFLJD","short_pith_number":"pith:GGS5RCL5","schema_version":"1.0","canonical_sha256":"31a5d8897de2bd6516a3bf50cf90ab48f4273c535d4717012b142faa607257f9","source":{"kind":"arxiv","id":"2503.22351","version":3},"attestation_state":"computed","paper":{"title":"One Look is Enough: Seamless Patchwise Refinement for Zero-Shot Monocular Depth Estimation on High-Resolution Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Byeongjun Kwon, Munchurl Kim","submitted_at":"2025-03-28T11:46:50Z","abstract_excerpt":"Zero-shot depth estimation (DE) models exhibit strong generalization performance as they are trained on large-scale datasets. However, existing models struggle with high-resolution images due to the discrepancy in image resolutions of training (with smaller resolutions) and inference (for high resolutions). Processing them at full resolution leads to decreased estimation accuracy on depth with tremendous memory consumption, while downsampling to the training resolution results in blurred edges in the estimated depth images. Prevailing high-resolution depth estimation methods adopt a patch-base"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2503.22351","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-28T11:46:50Z","cross_cats_sorted":[],"title_canon_sha256":"c960944615af9170b4098373754769155b0425a559c87ab73491efa00026116b","abstract_canon_sha256":"0d420744fac525ff7dce02b09cd7c8afb2b27465a2d56b074619ce3f471a77ea"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:45:56.993620Z","signature_b64":"48jfCu8B9r/TiNXxHSMFhy5m+PeBrUH91vB5a0YJ4PHspjTXgRMew7Z+PwWQKHVt2qEFuywo1PRHXRQlm7cjAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"31a5d8897de2bd6516a3bf50cf90ab48f4273c535d4717012b142faa607257f9","last_reissued_at":"2026-07-05T11:45:56.992980Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:45:56.992980Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"One Look is Enough: Seamless Patchwise Refinement for Zero-Shot Monocular Depth Estimation on High-Resolution Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Byeongjun Kwon, Munchurl Kim","submitted_at":"2025-03-28T11:46:50Z","abstract_excerpt":"Zero-shot depth estimation (DE) models exhibit strong generalization performance as they are trained on large-scale datasets. However, existing models struggle with high-resolution images due to the discrepancy in image resolutions of training (with smaller resolutions) and inference (for high resolutions). Processing them at full resolution leads to decreased estimation accuracy on depth with tremendous memory consumption, while downsampling to the training resolution results in blurred edges in the estimated depth images. Prevailing high-resolution depth estimation methods adopt a patch-base"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.22351","kind":"arxiv","version":3},"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/2503.22351/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2503.22351","created_at":"2026-07-05T11:45:56.993065+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.22351v3","created_at":"2026-07-05T11:45:56.993065+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.22351","created_at":"2026-07-05T11:45:56.993065+00:00"},{"alias_kind":"pith_short_12","alias_value":"GGS5RCL54K6W","created_at":"2026-07-05T11:45:56.993065+00:00"},{"alias_kind":"pith_short_16","alias_value":"GGS5RCL54K6WKFVD","created_at":"2026-07-05T11:45:56.993065+00:00"},{"alias_kind":"pith_short_8","alias_value":"GGS5RCL5","created_at":"2026-07-05T11:45:56.993065+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/GGS5RCL54K6WKFVDX5IM7EFLJD","json":"https://pith.science/pith/GGS5RCL54K6WKFVDX5IM7EFLJD.json","graph_json":"https://pith.science/api/pith-number/GGS5RCL54K6WKFVDX5IM7EFLJD/graph.json","events_json":"https://pith.science/api/pith-number/GGS5RCL54K6WKFVDX5IM7EFLJD/events.json","paper":"https://pith.science/paper/GGS5RCL5"},"agent_actions":{"view_html":"https://pith.science/pith/GGS5RCL54K6WKFVDX5IM7EFLJD","download_json":"https://pith.science/pith/GGS5RCL54K6WKFVDX5IM7EFLJD.json","view_paper":"https://pith.science/paper/GGS5RCL5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.22351&json=true","fetch_graph":"https://pith.science/api/pith-number/GGS5RCL54K6WKFVDX5IM7EFLJD/graph.json","fetch_events":"https://pith.science/api/pith-number/GGS5RCL54K6WKFVDX5IM7EFLJD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GGS5RCL54K6WKFVDX5IM7EFLJD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GGS5RCL54K6WKFVDX5IM7EFLJD/action/storage_attestation","attest_author":"https://pith.science/pith/GGS5RCL54K6WKFVDX5IM7EFLJD/action/author_attestation","sign_citation":"https://pith.science/pith/GGS5RCL54K6WKFVDX5IM7EFLJD/action/citation_signature","submit_replication":"https://pith.science/pith/GGS5RCL54K6WKFVDX5IM7EFLJD/action/replication_record"}},"created_at":"2026-07-05T11:45:56.993065+00:00","updated_at":"2026-07-05T11:45:56.993065+00:00"}