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InfiniDream generates editable photorealistic 3D worlds with VLMs

Original title: InfiniDream: Open-Ended Photorealistic 3D Worlds Through Procedural Generation

Hugging Face daily papersby Yi-Chuan Huang, Hao-Jen Chien, Zheng-Hui Huang ()1 min read
AI summary · x-ai/grok-4.7Summaries by Vani AI

Evaluations on 100 object and 20 scene tasks report gains on four perceptual metrics.

InfiniDream is a VLM-driven framework for open-ended procedural 3D world generation. Symbolically Constrained Asset Generation uses existing procedural algorithms to make novel photorealistic assets while keeping editability and seed-based diversity. A text-to-world pipeline pairs semantic scene planning with Deterministic Frustum-Guided Grid Placement. Diversity analysis, ablations, and human preference evaluations are also reported.

Unconfirmed: Metric gains are author-reported; exact score values are not given in the abstract.

Key facts
  • The method aims to create asset types beyond predefined factories and APIs.
  • Placement covers large-scale worlds, procedural population, and animation.
  • A public project page documents the framework.
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From the original article

1 min read at huggingface.co

Procedural generation plays a key role in synthetic data creation and game development, offering greater controllability, editability, and diversity than static mesh representations. However, VLM-based code generation often produces relatively simple 3D assets, while sophisticated photorealistic procedural systems require extensive manual development.

Hugging Face daily papers

By Yi-Chuan Huang, Hao-Jen Chien, Zheng-Hui Huang · huggingface.co

Read the full article at Hugging Face daily papers

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.