Pith Number

pith:TAJPPPQG

pith:2024:TAJPPPQG2V2KZBCDOPK3DLAEEF

not attested not anchored not stored refs resolved

TripoSR: Fast 3D Object Reconstruction from a Single Image

Adam Letts, Christian Laforte, David Pankratz, Ding Liang, Dmitry Tochilkin, Varun Jampani, Yangguang Li, Yan-Pei Cao, Zexiang Liu, Zixuan Huang

TripoSR produces a 3D mesh from one photo in under half a second by refining the LRM transformer design.

arxiv:2403.02151 v1 · 2024-03-04 · cs.CV

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\pithnumber{TAJPPPQG2V2KZBCDOPK3DLAEEF}

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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

producing 3D mesh from a single image in under 0.5 seconds... TripoSR exhibits superior performance, both quantitatively and qualitatively, compared to other open-source alternatives.

C2weakest assumption

That the reported improvements in data processing, model design, and training techniques produce genuinely better generalization rather than fitting the specific evaluation datasets used.

C3one line summary

TripoSR generates 3D meshes from single images in under 0.5 seconds using an improved transformer architecture over LRM.

References

35 extracted · 35 resolved · 4 Pith anchors

[1] Emerg- ing properties in self-supervised vision transformers 2021

[2] Efficient geometry-aware 3d generative adversarial networks 2022

[3] Chan, Koki Nagano, Matthew A 2023

[4] Objaverse: A universe of annotated 3d objects 2023

[5] Objaverse-xl: A universe of 10m+ 3d objects 2024

Cited by

27 papers in Pith

FUNCanon: Learning Pose-Aware Action Primitives via Functional Object Canonicalization for Generalizable Robotic Manipulation

SVG360: Editable Multiview Vector Graphics from a Single SVG

Stream3D: Sequential Multi-View 3D Generation via Evidential Memory

PanoWorld: A Generative Spatial World Model for Consistent Whole-House Panorama Synthesis

GeoFlow: Enforcing Implicit Geometric Consistency in Video Generation

Receipt and verification

First computed	2026-05-17T23:38:47.067451Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9812f7be06d574ac844373d5b1ac042151e7d2f4344bddf371eba5c2751f49ff

Aliases

arxiv: 2403.02151 · arxiv_version: 2403.02151v1 · doi: 10.48550/arxiv.2403.02151 · pith_short_12: TAJPPPQG2V2K · pith_short_16: TAJPPPQG2V2KZBCD · pith_short_8: TAJPPPQG

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/TAJPPPQG2V2KZBCDOPK3DLAEEF \
  | 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: 9812f7be06d574ac844373d5b1ac042151e7d2f4344bddf371eba5c2751f49ff

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "4abd47535d04c2de8375e128ccda5195d19eee58f1ad43c87d2cb65e271e21c7",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2024-03-04T16:00:56Z",
    "title_canon_sha256": "ff1307898b180369139ca90be26449a5e56e4499cef9c5fd27bfca8cb8bbed7f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2403.02151",
    "kind": "arxiv",
    "version": 1
  }
}