Pith Number

pith:VDKAFHVI

pith:2022:VDKAFHVIQBGQGPNGNV2MPTDWOL

not attested not anchored not stored refs pending

Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Alex Nichol, Heewoo Jun, Mark Chen, Pamela Mishkin, Prafulla Dhariwal

A two-stage diffusion process turns text prompts into 3D point clouds in 1-2 minutes on one GPU.

arxiv:2212.08751 v1 · 2022-12-16 · cs.CV · cs.LG

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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 first generates a single synthetic view using a text-to-image diffusion model, and then produces a 3D point cloud using a second diffusion model which conditions on the generated image. ... produces 3D models in only 1-2 minutes on a single GPU.

C2weakest assumption

That a single synthetic 2D view generated by the text-to-image model contains enough information for the second diffusion model to recover accurate 3D geometry for complex prompts.

C3one line summary

Point-E is a cascaded diffusion system that generates 3D point clouds from text in minutes by first synthesizing a 2D view then lifting it to 3D.

Formal links

2 machine-checked theorem links

Cited by

50 papers in Pith

BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion

ConsDreamer: Advancing Multi-View Consistency for Zero-Shot Text-to-3D Generation

Art3D: Training-Free 3D Generation from Flat-Colored Illustration

Hestia: Voxel-Face-Aware Hierarchical Next-Best-View Acquisition for Efficient 3D Reconstruction

CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models

Receipt and verification

First computed	2026-05-17T23:39:21.773888Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a8d4029ea8804d033da66d74c7cc7672d1dc83485250a44301225b098611f227

Aliases

arxiv: 2212.08751 · arxiv_version: 2212.08751v1 · doi: 10.48550/arxiv.2212.08751 · pith_short_12: VDKAFHVIQBGQ · pith_short_16: VDKAFHVIQBGQGPNG · pith_short_8: VDKAFHVI

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/VDKAFHVIQBGQGPNGNV2MPTDWOL \
  | 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: a8d4029ea8804d033da66d74c7cc7672d1dc83485250a44301225b098611f227

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f21f9348a172593d518c7962ad21bfb80e8da4bcc9c39b753439e75df417a213",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2022-12-16T23:22:59Z",
    "title_canon_sha256": "df73e4635e8391feb6291ec8a9e7c0268d22b6f6b462fc2ac060130847f62727"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2212.08751",
    "kind": "arxiv",
    "version": 1
  }
}