Pith Number

pith:5BAF7FMT

pith:2026:5BAF7FMTRIWKDABPT4B5L3LLZD

not attested not anchored not stored refs resolved

TOPOS: High-Fidelity and Efficient Industry-Grade 3D Head Generation

Bojun Xiong, Bowen Cai, Huan Fu, Jing Li, Junchen Deng, Jun Liang, Xinghui Peng, Yunmu Wang, Zoubin Bi

TOPOS generates single-image 3D heads locked to one fixed studio topology so every output shares identical vertices for rigging and animation.

arxiv:2605.14594 v1 · 2026-05-14 · cs.CV · cs.GR

Open paper page JSON Open Graph Bundle Merged state What is a Pith Number?

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

TOPOS achieves state-of-the-art performance on 3D head generation, surpassing both classical face reconstruction methods and general 3D object generative models, highlighting its effectiveness for digital human creation.

C2weakest assumption

That the Perceiver Resampler can reliably convert point clouds sampled from head meshes of diverse topologies into the fixed reference topology while preserving geometric fidelity and semantic correspondence needed for downstream rigging and animation.

C3one line summary

TOPOS creates high-fidelity 3D heads with fixed industry topology from single images via a specialized VAE with Perceiver Resampler and a rectified flow transformer.

References

145 extracted · 145 resolved · 14 Pith anchors

[1] Advances in neural information processing systems , volume=

[2] Denoising Diffusion Implicit Models 2010 · arXiv:2010.02502

[3] International conference on machine learning , pages= 2021

[4] Flow Matching for Generative Modeling · arXiv:2210.02747

[5] Flow Matching Guide and Code · arXiv:2412.06264

Formal links

1 machine-checked theorem link

Receipt and verification

First computed	2026-05-17T23:39:05.215003Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e8405f95938a2ca1802f9f03d5ed6bc8f9c682b8e93dd3cb611ec62b7b74155d

Aliases

arxiv: 2605.14594 · arxiv_version: 2605.14594v1 · doi: 10.48550/arxiv.2605.14594 · pith_short_12: 5BAF7FMTRIWK · pith_short_16: 5BAF7FMTRIWKDABP · pith_short_8: 5BAF7FMT

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/5BAF7FMTRIWKDABPT4B5L3LLZD \
  | 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: e8405f95938a2ca1802f9f03d5ed6bc8f9c682b8e93dd3cb611ec62b7b74155d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "fc2885c07f33b9263e6e437ca1b03358cdb3f11b09eeea2d46fafd9e210d77e5",
    "cross_cats_sorted": [
      "cs.GR"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-14T09:02:32Z",
    "title_canon_sha256": "9008e932316be9171a52ebbd28e753e3a56754c46406352ec0bd2797db11e061"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14594",
    "kind": "arxiv",
    "version": 1
  }
}