{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:25JDERJI3KZCK3PEJCUUWNGE5L","short_pith_number":"pith:25JDERJI","schema_version":"1.0","canonical_sha256":"d752324528dab2256de448a94b34c4eafcdccd90ce1580efdc95b35954081fa7","source":{"kind":"arxiv","id":"2306.12624","version":2},"attestation_state":"computed","paper":{"title":"DreamEdit: Subject-driven Image Editing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cong Wei, Max Ku, Tianle Li, Wenhu Chen","submitted_at":"2023-06-22T01:29:06Z","abstract_excerpt":"Subject-driven image generation aims at generating images containing customized subjects, which has recently drawn enormous attention from the research community. However, the previous works cannot precisely control the background and position of the target subject. In this work, we aspire to fill the void and propose two novel subject-driven sub-tasks, i.e., Subject Replacement and Subject Addition. The new tasks are challenging in multiple aspects: replacing a subject with a customized one can change its shape, texture, and color, while adding a target subject to a designated position in a p"},"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":"2306.12624","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-22T01:29:06Z","cross_cats_sorted":[],"title_canon_sha256":"c61f26a5836cf38e1dbcfb94923efa67067da92dfc43d007942e9559d9567a06","abstract_canon_sha256":"cea4a81594e610f468240e2e9032e2aa458419bec67504563f281c3e0b660387"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:42:06.477501Z","signature_b64":"GNOZ7XiBTzms9Acq1lTC5QvAo17ZlWVLVX3Gz3f98skATBEDsqG5/ZzUkWjrrtmlouCwyJbOXjGjUI/fJwHcBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d752324528dab2256de448a94b34c4eafcdccd90ce1580efdc95b35954081fa7","last_reissued_at":"2026-07-05T06:42:06.476980Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:42:06.476980Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DreamEdit: Subject-driven Image Editing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cong Wei, Max Ku, Tianle Li, Wenhu Chen","submitted_at":"2023-06-22T01:29:06Z","abstract_excerpt":"Subject-driven image generation aims at generating images containing customized subjects, which has recently drawn enormous attention from the research community. However, the previous works cannot precisely control the background and position of the target subject. In this work, we aspire to fill the void and propose two novel subject-driven sub-tasks, i.e., Subject Replacement and Subject Addition. The new tasks are challenging in multiple aspects: replacing a subject with a customized one can change its shape, texture, and color, while adding a target subject to a designated position in a p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.12624","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/2306.12624/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":"2306.12624","created_at":"2026-07-05T06:42:06.477044+00:00"},{"alias_kind":"arxiv_version","alias_value":"2306.12624v2","created_at":"2026-07-05T06:42:06.477044+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.12624","created_at":"2026-07-05T06:42:06.477044+00:00"},{"alias_kind":"pith_short_12","alias_value":"25JDERJI3KZC","created_at":"2026-07-05T06:42:06.477044+00:00"},{"alias_kind":"pith_short_16","alias_value":"25JDERJI3KZCK3PE","created_at":"2026-07-05T06:42:06.477044+00:00"},{"alias_kind":"pith_short_8","alias_value":"25JDERJI","created_at":"2026-07-05T06:42:06.477044+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":3,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.17619","citing_title":"RAVA: Retrieval-Augmented Viewpoint Alignment for Subject-Driven Image Generation","ref_index":32,"is_internal_anchor":false},{"citing_arxiv_id":"2604.20038","citing_title":"FluSplat: Sparse-View 3D Editing without Test-Time Optimization","ref_index":28,"is_internal_anchor":false},{"citing_arxiv_id":"2604.13863","citing_title":"PostureObjectstitch: Anomaly Image Generation Considering Assembly Relationships in Industrial Scenarios","ref_index":18,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/25JDERJI3KZCK3PEJCUUWNGE5L","json":"https://pith.science/pith/25JDERJI3KZCK3PEJCUUWNGE5L.json","graph_json":"https://pith.science/api/pith-number/25JDERJI3KZCK3PEJCUUWNGE5L/graph.json","events_json":"https://pith.science/api/pith-number/25JDERJI3KZCK3PEJCUUWNGE5L/events.json","paper":"https://pith.science/paper/25JDERJI"},"agent_actions":{"view_html":"https://pith.science/pith/25JDERJI3KZCK3PEJCUUWNGE5L","download_json":"https://pith.science/pith/25JDERJI3KZCK3PEJCUUWNGE5L.json","view_paper":"https://pith.science/paper/25JDERJI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2306.12624&json=true","fetch_graph":"https://pith.science/api/pith-number/25JDERJI3KZCK3PEJCUUWNGE5L/graph.json","fetch_events":"https://pith.science/api/pith-number/25JDERJI3KZCK3PEJCUUWNGE5L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/25JDERJI3KZCK3PEJCUUWNGE5L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/25JDERJI3KZCK3PEJCUUWNGE5L/action/storage_attestation","attest_author":"https://pith.science/pith/25JDERJI3KZCK3PEJCUUWNGE5L/action/author_attestation","sign_citation":"https://pith.science/pith/25JDERJI3KZCK3PEJCUUWNGE5L/action/citation_signature","submit_replication":"https://pith.science/pith/25JDERJI3KZCK3PEJCUUWNGE5L/action/replication_record"}},"created_at":"2026-07-05T06:42:06.477044+00:00","updated_at":"2026-07-05T06:42:06.477044+00:00"}