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Pith Number

pith:Y4PUJH2N

pith:2026:Y4PUJH2NJCDOJG7DOI7NRSJYEY
not attested not anchored not stored refs pending

HumanSplatHMR: Closing the Loop Between Human Mesh Recovery and Gaussian Splatting Avatar

Katherine A. Skinner, Pou-Chun Kung, Ram Vasudevan, Seth Isaacson, Yeheng Zong, Yike Pan, Yizhou Chen

Joint optimization refines 3D human poses by routing rendering losses back through a Gaussian splatting avatar.

arxiv:2605.02784 v2 · 2026-05-04 · cs.CV

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\pithnumber{Y4PUJH2NJCDOJG7DOI7NRSJYEY}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Experiments show consistent improvements over pose recovery baselines that omit image-level refinement and avatar baselines that decouple pose estimation from avatar reconstruction.

C2weakest assumption

That backpropagating photometric, segmentation, and depth losses through the differentiable renderer will reliably refine global 3D poses without introducing instability or local minima that degrade the avatar quality.

C3one line summary

HumanSplatHMR closes the loop between human mesh recovery and Gaussian Splatting by using photometric, segmentation, and depth losses to refine poses during avatar optimization.

Formal links

3 machine-checked theorem links

Receipt and verification
First computed 2026-05-22T02:04:41.575249Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

c71f449f4d4886e49be3723ed8c938261e154a93ce360b3bcece9a490aa7815d

Aliases

arxiv: 2605.02784 · arxiv_version: 2605.02784v2 · doi: 10.48550/arxiv.2605.02784 · pith_short_12: Y4PUJH2NJCDO · pith_short_16: Y4PUJH2NJCDOJG7D · pith_short_8: Y4PUJH2N
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Y4PUJH2NJCDOJG7DOI7NRSJYEY \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: c71f449f4d4886e49be3723ed8c938261e154a93ce360b3bcece9a490aa7815d
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "3966a08ce7552af3802968c0149f543858feea822dfe3e46dd7903f1cb836a27",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-04T16:26:11Z",
    "title_canon_sha256": "725e5172d0e8fb9c86916d8b0d499e3033cdc83db6199e8a7f2585798403aaa0"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.02784",
    "kind": "arxiv",
    "version": 2
  }
}