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Pith Number

pith:UPRKJDSO

pith:2026:UPRKJDSOKGMR2O65WNH7G4SAKA
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SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis

Fan Li, Mingwen Shao, Wangmeng Zuo, Yecong Wan

SplatWeaver learns to assign different numbers of 3D Gaussians to different scene regions for better feed-forward novel view synthesis.

arxiv:2605.07287 v2 · 2026-05-08 · cs.CV

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\pithnumber{UPRKJDSOKGMR2O65WNH7G4SAKA}

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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

SplatWeaver consistently outperforms state-of-the-art methods, delivering more faithful novel-view renderings with fewer Gaussian primitives.

C2weakest assumption

That the combination of cardinality experts, pixel-level routing, high-frequency prior, and routing regularization will stably produce complexity-aware allocations that generalize across scenes without overfitting or requiring per-scene optimization.

C3one line summary

SplatWeaver dynamically allocates Gaussian primitives via cardinality experts and pixel-level routing guided by high-frequency cues for improved generalizable novel view synthesis.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-22T01:04:05.242103Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a3e2a48e4e51991d3bddb34ff37240501873e8be3289561d92b59f9d67e48efb

Aliases

arxiv: 2605.07287 · arxiv_version: 2605.07287v2 · doi: 10.48550/arxiv.2605.07287 · pith_short_12: UPRKJDSOKGMR · pith_short_16: UPRKJDSOKGMR2O65 · pith_short_8: UPRKJDSO
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UPRKJDSOKGMR2O65WNH7G4SAKA \
  | 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: a3e2a48e4e51991d3bddb34ff37240501873e8be3289561d92b59f9d67e48efb
Canonical record JSON
{
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    "abstract_canon_sha256": "b4d4f4ccd1dc83908d2487d58a8e1842d76378449f0b55c5a1f2f20447c360fc",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-08T05:51:34Z",
    "title_canon_sha256": "f40302343d58d01e6837475453f67aafbcb8e935d2b8b43a7cbdb85df9329d84"
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  "schema_version": "1.0",
  "source": {
    "id": "2605.07287",
    "kind": "arxiv",
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}