Pith Number

pith:FGPC4CVZ

pith:2026:FGPC4CVZUCWF4GOBGUYZM3HPOV

not attested not anchored not stored refs resolved

Real-Time Neural Hair Denoising

Chenghao Wu, Kai Yan, Kui Wu, Tao Huang, Yuefan Shen, Zahra Montazeri

Neural spatial and temporal reconstruction recovers accurate hair coverage and tangents from undersampled inputs to enable high-quality real-time shading.

arxiv:2605.17557 v1 · 2026-05-17 · cs.GR · cs.CV

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

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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

Our method achieves higher hair reconstruction quality than existing hair-specific denoising techniques and general industrial neural reconstruction solutions such as DLSS and FSR.

C2weakest assumption

The neural spatial reconstruction and temporal accumulation steps can reliably recover accurate fractional hair visibility and tangent from severely undersampled rasterized inputs across diverse hairstyles and motion.

C3one line summary

A neural method reconstructs hair G-Buffers from undersampled inputs via spatial-temporal reconstruction and tangent-guided position completion for deferred shading.

References

59 extracted · 59 resolved · 0 Pith anchors

[1] 2023 , eprint = 2023 · doi:10.48550/arxiv.2310.04080

[2] Kajiya, J. T. and Kay, T. L. , title =. SIGGRAPH Comput. Graph. , month =. 1989 , issue_date = 1989

[3] Marschner and Henrik Wann Jensen and Mike Cammarano and Steve Worley and Pat Hanrahan , title =

[4] ACM SIGGRAPH 2010 Papers , articleno = 2010

[5] A practical approach for photometric acquisition of hair color , journal =

Receipt and verification

First computed	2026-05-20T00:04:45.608194Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

299e2e0ab9a0ac5e19c13531966cef7552e874df6548fa48b214979763269d89

Aliases

arxiv: 2605.17557 · arxiv_version: 2605.17557v1 · doi: 10.48550/arxiv.2605.17557 · pith_short_12: FGPC4CVZUCWF · pith_short_16: FGPC4CVZUCWF4GOB · pith_short_8: FGPC4CVZ

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/FGPC4CVZUCWF4GOBGUYZM3HPOV \
  | 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: 299e2e0ab9a0ac5e19c13531966cef7552e874df6548fa48b214979763269d89

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9ddf51dad59c319752909307a61df1a3d3ade5513ab239275868fa91b89d48f5",
    "cross_cats_sorted": [
      "cs.CV"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.GR",
    "submitted_at": "2026-05-17T17:37:57Z",
    "title_canon_sha256": "90dd8a5ad0effcdd5f0221436d1cdab5fa76461baa28c716a6d9fdbf21cf43b3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.17557",
    "kind": "arxiv",
    "version": 1
  }
}