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Current state-of-the-art pose estimators aim to capture complex joint dynamics by relying on transformers and graph convolutional networks. Since these architectures operate exclusively in Euclidean space which fundamentally mismatches the inherent tree structure of the human body, these methods inevitably suffer from exponential volume distortion and struggle to maintain structural coherence. To this end, we depart from flat spaces and aim to improve geometric fidelity with Hyperbolic Kinematic Phase-Space Attention (HKPSA), natively embedding complex joint relationships without distortion, alongside a multi-scale windowed hyperbolic attention mechanism that efficiently models tem","title":"HYPERPOSE: Hyperbolic Kinematic Phase-Space Attention for 3D Human Pose Estimation","url":"https://arxiv.org/abs/2605.10100","vendor":"arxiv_cs_ai"},"summary":"arXiv:2605.10100v2 Announce Type: replace-cross \nAbstract: We introduce HYPERPOSE, a novel 3D human pose estimation framework that performs spatio-temporal reasoning entirely within the Lorentz model of hyperbolic space $\\mathbb{H}^d$ to natively preserve the hierarchical tree topology of the human skeleton. Current state-of-the-art pose estimators aim to capture complex joint dynamics by relying on transformers and graph convolutional networks. Since these architectures operate exclusively in Euclidean space which fundamentally mismatches the inherent tree structure of the human body, these methods inevitably suffer from exponential volume distortion and struggle to maintain structural coherence. To this end, we depart from flat spaces and aim to improve geometric fidelity with Hyperbolic Kinematic Phase-Space Attention (HKPSA), natively embedding complex joint relationships without distortion, alongside a multi-scale windowed hyperbolic attention mechanism that efficiently models tem","title":"HYPERPOSE: Hyperbolic Kinematic Phase-Space Attention for 3D Human Pose Estimation","vendor":"arxiv_cs_ai"},"confidence":{"method":"deterministic"},"decision":"POSITIVE","issued_at":"2026-05-18T04:43:11Z","notes":"Spider vendor_press (news) news.vendor_press.v1","object":{"captured_by":"crovia.spider.vendor_press","primary_source_url":"https://arxiv.org/abs/2605.10100"},"predecessors":[],"schema":"crovia.axiom.v1","signature":"ed25519:4957cee224aad87b91a2cc50a01d0567eefe7ea8de9ca09d607dc953859f6211950cf43bafa76babec508552424d22aa99b944d3850608d34db728dafd010007","signer":"crovia.substrate","subject":{"observed_at":"2026-05-18T04:43:11Z","source_collector":"spider:vendor_press","target_id":"https://arxiv.org/abs/2605.10100"},"tsa":{"authority":"crovia.substrate.bootstrap","rfc3161_token":"{\"kind\":\"crovia.bootstrap.tsa\",\"source_jsonl\":\"/opt/crovia/spider/data/news/vendor_press_v1.jsonl\",\"source_seal_merkle_root\":\"spider_vendor_press_v1\",\"upgrade_path\":\"Sessione H \\u2014 OpenTimestamps weekly anchor\"}"},"zk_mode":"clear","zk_proof":null},"ledger":{"leaf_hash":"c8c1d1c10ee723e8ecd2354a44b4acafac80eacea5921c8feb6cf2160f7bd069","leaf_index":140821,"ledger_path":"/opt/crovia/substrate/axiom_ledger.jsonl"},"merkle_proof":{"hash_alg":"sha256","leaf_prefix":"0x00","node_prefix":"0x01","odd_leaf_rule":"duplicate_last","path":[{"sibling":"6536add235ddb42bed24f7eec53552b37ea7b2d302d2b931776c5891736c1d2a","side":"left"},{"sibling":"b861757421336cc8795578082b64298934f0f2ecbcbc35fda94ff297924dfb0e","side":"right"},{"sibling":"2b10db2834a05110340267a71c843f784bd05248b427b0eb57edb77c4b4413b5","side":"left"},{"sibling":"5ccd6dcfceabc6e1c17b59d9a1ce434778591733ad6b9b300ce7ccf77d205307","side":"right"},{"sibling":"f727513692aa02658ee9539f81f537f0867b56b99c709dd467221cf4364e3efa","side":"left"},{"sibling":"2c1eb16147433fe66739128d4f460e8c2a75eee663b7d9dc9c3ad70cfc8c0429","side":"right"},{"sibling":"f5549d405a3735c35bfcb3acd74cae69f4d03370836eec8bbc18e7b3eb016a19","side":"right"},{"sibling":"a87432691ceb26cb93d306a629d23c791a2630efd7fc708d3ad480b3ef31e966","side":"right"},{"sibling":"eec7831167f92e73ff0d6defbc9a917c62b82a9f14cdfbb761db0e7219ab3519","side":"right"},{"sibling":"796add816cf5ab3ce5f338195252cc064685523572fa7fad3982a6e20730395f","side":"left"},{"sibling":"28b78fb112bcf26b6801664db97eb8f52a9bccbf0a7ae6766e11845d443692df","side":"left"},{"sibling":"68d0a4634c1460a19c92edd9480df3aa733b814463e7420d1e14471bf61b2f83","side":"right"},{"sibling":"8af64f275b862349aa3bbb9d5cd7fa9a7fdd5620af3bf1b36b2a4519b0b53bdf","side":"right"},{"sibling":"8f4c0fbe56b6c010fbb8c782ebcd478079bb3f991d8704e2534209a075d9163c","side":"left"},{"sibling":"b98c2afadb358e5387e88f19588f8343a81b488d9b44a6f7e57a032db3a1b030","side":"right"},{"sibling":"11b0c1591747f09f7c8971a6caa19befcd81317ca9dfd417b143234df4e10c79","side":"right"},{"sibling":"87206f3bcc342797c990d87f7235c01f78d32ca59cfaf8ad18d71afc879ba477","side":"right"},{"sibling":"d841ad93efda0869e5eb97678f348f03f5caab4353e05ff4bf18f47fb945b822","side":"left"}]},"schema":"crovia.axiom_proof.v1","seal":{"first_collector_run_id":"","first_receipt_hash":"","jsonl_path":"/opt/crovia/substrate/axiom_ledger.jsonl","key_id":"430895f101d38164","last_collector_run_id":"","last_receipt_hash":"","leaf_count":140892,"merkle_root":"6cca56ead155990456b8a014cc50bddbe710f409b26e3d1bfa6fb12b0bfcf6bf","public_key_hex":"cf742e26f75669dc673cb5c0786a1ae23ae8ca19c347317192ce40c28a7ff25c","run_id":"hourly_json_retrofit_20260518T053701Z","schema":"crovia.seal.v1","seal_family_version":"crovia-seal-family/1","seal_kind":"substrate_batch","sealed_at":"2026-05-18T05:37:30Z","sig_algorithm":"ed25519","signature":"1e1135f7595f79b14fb11f5fa81a2e17ad31b11b44b427a5e40a7d511cd86447daf492babd368ab571cf26404c8c74c450d460130fca4b064eb2760367489a0f","signer_version":"1.1.0"},"trust_root":{"key_id":"430895f101d38164","public_key_hex":"cf742e26f75669dc673cb5c0786a1ae23ae8ca19c347317192ce40c28a7ff25c","signature_algorithm":"ed25519","url":"/registry/canon/TRUST_ROOT.md"},"verifier":{"spec":"/registry/canon/AXIOM_RECEIPT_v1.md","url":"/v/axm_3d5a3d68ceeab29276d04feee855c9a05eb6dae094df7b71361cd49b1a1ebf44"}}