{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3TBG7CYFZKG6GBJMLC7VXCDXT7","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":"903d57360d3df59161a6d16598e391d6e4d0170d3f737752bf57d54ebdf364b5","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-02T10:57:33Z","title_canon_sha256":"b9ffeec01fd83774d25d50fd7f4eb47527e5aaeba8f256931c335392daab804e"},"schema_version":"1.0","source":{"id":"2507.01587","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.01587","created_at":"2026-07-05T12:04:37Z"},{"alias_kind":"arxiv_version","alias_value":"2507.01587v2","created_at":"2026-07-05T12:04:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.01587","created_at":"2026-07-05T12:04:37Z"},{"alias_kind":"pith_short_12","alias_value":"3TBG7CYFZKG6","created_at":"2026-07-05T12:04:37Z"},{"alias_kind":"pith_short_16","alias_value":"3TBG7CYFZKG6GBJM","created_at":"2026-07-05T12:04:37Z"},{"alias_kind":"pith_short_8","alias_value":"3TBG7CYF","created_at":"2026-07-05T12:04:37Z"}],"graph_snapshots":[{"event_id":"sha256:31c2b3696b7392b0fa89743d66e63840d1deceaf408715f8fa7aa437eecba7d3","target":"graph","created_at":"2026-07-05T12:04:37Z","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/2507.01587/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent deep learning-based image denoising methods have shown impressive performance; however, many lack the flexibility to adjust the denoising strength based on the noise levels, camera settings, and user preferences. In this paper, we introduce a new controllable denoising framework that adaptively removes noise from images by utilizing information from camera parameters. Specifically, we focus on ISO, shutter speed, and F-number, which are closely related to noise levels. We convert these selected parameters into a vector to control and enhance the performance of the denoising network. Exp","authors_text":"Junhyeong Kwon, Keuntek Lee, Nam Ik Cho, Youngjin Oh","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-02T10:57:33Z","title":"Towards Controllable Real Image Denoising with Camera Parameters"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.01587","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:d71a2ad2fddab036099e8edc7737111868d86f1ff7f9a1523eff763a8f7afb19","target":"record","created_at":"2026-07-05T12:04:37Z","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":"903d57360d3df59161a6d16598e391d6e4d0170d3f737752bf57d54ebdf364b5","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-02T10:57:33Z","title_canon_sha256":"b9ffeec01fd83774d25d50fd7f4eb47527e5aaeba8f256931c335392daab804e"},"schema_version":"1.0","source":{"id":"2507.01587","kind":"arxiv","version":2}},"canonical_sha256":"dcc26f8b05ca8de3052c58bf5b88779fe349421ff861b55673c9b814a75d08eb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dcc26f8b05ca8de3052c58bf5b88779fe349421ff861b55673c9b814a75d08eb","first_computed_at":"2026-07-05T12:04:37.220870Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:04:37.220870Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FJGBfi9DCPjY9la27usxChDHTwUPEqqBhkEj4wIhiMckpSPC4LrO+s5yxXLuNoM3qzEtgKxtJRYKShNlCT/VBw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:04:37.221392Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.01587","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d71a2ad2fddab036099e8edc7737111868d86f1ff7f9a1523eff763a8f7afb19","sha256:31c2b3696b7392b0fa89743d66e63840d1deceaf408715f8fa7aa437eecba7d3"],"state_sha256":"afbe0ce8895b55256eb4476ae8dc5a173fad89a0b65db474a29e8422b080b7db"}