{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:7FGUTLQ22AAO3HEEFO5VDVXACS","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":"41c6294677f33c12de45e9541f0d3b7489ec9a1989720e7ecae5a1f9d21e2118","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-06T18:50:28Z","title_canon_sha256":"7d1601672c8ae456aa16e3cb49164970f1a044ed65795ff71de2b6b2a70f92e5"},"schema_version":"1.0","source":{"id":"1712.02327","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.02327","created_at":"2026-05-18T00:19:49Z"},{"alias_kind":"arxiv_version","alias_value":"1712.02327v2","created_at":"2026-05-18T00:19:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.02327","created_at":"2026-05-18T00:19:49Z"},{"alias_kind":"pith_short_12","alias_value":"7FGUTLQ22AAO","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"7FGUTLQ22AAO3HEE","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"7FGUTLQ2","created_at":"2026-05-18T12:31:05Z"}],"graph_snapshots":[{"event_id":"sha256:e10a5a24a8f190ef26a23f198dc0680827c07fec1271bdeb806a663ffd2c4cb7","target":"graph","created_at":"2026-05-18T00:19:49Z","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"},"paper":{"abstract_excerpt":"We present a technique for jointly denoising bursts of images taken from a handheld camera. In particular, we propose a convolutional neural network architecture for predicting spatially varying kernels that can both align and denoise frames, a synthetic data generation approach based on a realistic noise formation model, and an optimization guided by an annealed loss function to avoid undesirable local minima. Our model matches or outperforms the state-of-the-art across a wide range of noise levels on both real and synthetic data.","authors_text":"Ben Mildenhall, Dillon Sharlet, Jiawen Chen, Jonathan T. Barron, Ren Ng, Robert Carroll","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-06T18:50:28Z","title":"Burst Denoising with Kernel Prediction Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.02327","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":"sha256:628e6450ae124082d1cbd34a8a9b71fcb2ec084f089d685d4e4d3b97f1c0a7f6","target":"record","created_at":"2026-05-18T00:19:49Z","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":"41c6294677f33c12de45e9541f0d3b7489ec9a1989720e7ecae5a1f9d21e2118","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-06T18:50:28Z","title_canon_sha256":"7d1601672c8ae456aa16e3cb49164970f1a044ed65795ff71de2b6b2a70f92e5"},"schema_version":"1.0","source":{"id":"1712.02327","kind":"arxiv","version":2}},"canonical_sha256":"f94d49ae1ad000ed9c842bbb51d6e0149bd1213174ee333e6f9c4132238e5b2b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f94d49ae1ad000ed9c842bbb51d6e0149bd1213174ee333e6f9c4132238e5b2b","first_computed_at":"2026-05-18T00:19:49.028583Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:19:49.028583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WbM8xZeMhBT5BjU8RJdBZTRfgWjQpKltVR+ble2TpxnxPo2C8Ad2T9hR9UYF05TNBmGzXqCOW+RlAFOJbo4nDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:19:49.029279Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.02327","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:628e6450ae124082d1cbd34a8a9b71fcb2ec084f089d685d4e4d3b97f1c0a7f6","sha256:e10a5a24a8f190ef26a23f198dc0680827c07fec1271bdeb806a663ffd2c4cb7"],"state_sha256":"bfcd52d022312e530fd0356b0782d33fdbde5b3b5ba06ab2399daa0c860471c6"}