pith:Y4PUJH2N
HumanSplatHMR: Closing the Loop Between Human Mesh Recovery and Gaussian Splatting Avatar
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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Record completeness
Claims
Experiments show consistent improvements over pose recovery baselines that omit image-level refinement and avatar baselines that decouple pose estimation from avatar reconstruction.
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.
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
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
· · · · ·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
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