{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:EQM55IHNQYOJSEO2ESPU6B7D7I","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":"7228b715ca6e2103bd7f5a79bc55194442edcb68fbfcfc435637073289d2bd4b","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-01-28T12:24:17Z","title_canon_sha256":"9540cdbe00f32854cd4196ffc8d42a908247f92bc6d915a8d23a8e478fb7195d"},"schema_version":"1.0","source":{"id":"2001.10291","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.10291","created_at":"2026-07-05T01:18:17Z"},{"alias_kind":"arxiv_version","alias_value":"2001.10291v2","created_at":"2026-07-05T01:18:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.10291","created_at":"2026-07-05T01:18:17Z"},{"alias_kind":"pith_short_12","alias_value":"EQM55IHNQYOJ","created_at":"2026-07-05T01:18:17Z"},{"alias_kind":"pith_short_16","alias_value":"EQM55IHNQYOJSEO2","created_at":"2026-07-05T01:18:17Z"},{"alias_kind":"pith_short_8","alias_value":"EQM55IHN","created_at":"2026-07-05T01:18:17Z"}],"graph_snapshots":[{"event_id":"sha256:e6c4608741d308e1f3086c88a9aee45b056f256c6d9772e755f6ebfab07bc694","target":"graph","created_at":"2026-07-05T01:18:17Z","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/2001.10291/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Previous works have shown that convolutional neural networks can achieve good performance in image denoising tasks. However, limited by the local rigid convolutional operation, these methods lead to oversmoothing artifacts. A deeper network structure could alleviate these problems, but more computational overhead is needed. In this paper, we propose a novel spatial-adaptive denoising network (SADNet) for efficient single image blind noise removal. To adapt to changes in spatial textures and edges, we design a residual spatial-adaptive block. Deformable convolution is introduced to sample the s","authors_text":"Huajun Feng, Meng Chang, Qi Li, Zhihai Xu","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-01-28T12:24:17Z","title":"Spatial-Adaptive Network for Single Image Denoising"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.10291","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":"sha256:70a43f120c9f0d009cefb4672eb493eb9bbc5e3673280d436b548e724c9a4dc3","target":"record","created_at":"2026-07-05T01:18:17Z","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":"7228b715ca6e2103bd7f5a79bc55194442edcb68fbfcfc435637073289d2bd4b","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-01-28T12:24:17Z","title_canon_sha256":"9540cdbe00f32854cd4196ffc8d42a908247f92bc6d915a8d23a8e478fb7195d"},"schema_version":"1.0","source":{"id":"2001.10291","kind":"arxiv","version":2}},"canonical_sha256":"2419dea0ed861c9911da249f4f07e3fa0046e132dc0eaf14f93230f5966f09d6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2419dea0ed861c9911da249f4f07e3fa0046e132dc0eaf14f93230f5966f09d6","first_computed_at":"2026-07-05T01:18:17.499328Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:18:17.499328Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Xbe2Igxnh4/M+eEkSXFfOeZ+Ib0ANRXNH/y9YNeLYZZRJrstF8nllpke8X+WxKzK0Fu3Ysj1D8Sxj3ePP8y5DA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:18:17.499720Z","signed_message":"canonical_sha256_bytes"},"source_id":"2001.10291","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:70a43f120c9f0d009cefb4672eb493eb9bbc5e3673280d436b548e724c9a4dc3","sha256:e6c4608741d308e1f3086c88a9aee45b056f256c6d9772e755f6ebfab07bc694"],"state_sha256":"3d7f4487c69c58e285697c35520ea5780c59218bf997523e8e1f992b84924e57"}