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3DCodeVerse: Exploring 3D Worlds as Code

Paper recorded by Signals 4 on 2026-10-15 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-15 on arXiv · recorded by Signals 4 on 2026-10-16

Category: cs.AI · 人工智能 · first seen 2026-10-16

Abstract

We introduce 3DCodeVerse, a research ecosystem that enables coding agents to create editable and verifiable 3D content at scale. 3DCodeVerse comprises large-scale, high-quality datasets of executable 3D code, a coding harness for spatial reasoning and automated verification, and practical guidance for 3D coding. First, we construct 3DCodeVerse-2M, a large-scale curated dataset of standalone 3D exe

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#289 most recent of 960 cs.AI papers we have recorded · ↑ newer: GeoState: Learning View-Decoupled Geometry States for 3D World Modelin · ↓ older: Dexterity from Supervised Play

Cite this page: 3DCodeVerse: Exploring 3D Worlds as Code: the #289 most recent of 960 cs.AI papers we have recorded (as of 2026-10-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/3dcodeverse-exploring-3d-worlds-as-code.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json

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