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Mira-Scene: Pixel-Aligned Layouts for Generative 3D Scene

Hugging Face daily papersby Yang-Tian Sun, Tianjia Liu, Zehuan Huang ()1 min read1 · 1 read
AI summary · glm-5.3Summaries by Vani AI

Mira-Scene is a new 3D scene reconstruction framework that improves object layout accuracy using dense canonical coordinate maps and multimodal diffusion techniques.

This paper presents Mira-Scene, a 3D scene reconstruction framework that improves object layout accuracy using dense canonical coordinate maps and multimodal diffusion techniques.

Key facts
  • Mira-Scene is a 3D scene reconstruction framework for object layout generation
  • It uses dense canonical coordinate maps to improve layout accuracy over SAM3D
  • Experiments show 39.8% and 16.5% improvement over baselines
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From the original article

1 min read at huggingface.co

Single-image 3D object generation can now produce high-fidelity assets, yet accurately placing them into a coherent scene layout remains an open challenge. A central difficulty lies in how object layout is represented. Holistic methods absorb placement into a scene-level generation process, sacrificing object-level detail.

Hugging Face daily papers

By Yang-Tian Sun, Tianjia Liu, Zehuan 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.