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OrbitForge generates 3D scenes from text via video synthesis and Gaussian Splatting

Researchers have developed OrbitForge, a new method for generating 3D scenes from text prompts by leveraging text-to-video models and Gaussian Splatting. OrbitForge converts a text-generated video into a consistent 3D scene by using 3D reconstruction as an anchor to improve temporal and spatial coherence. This approach avoids task-specific fine-tuning and per-prompt optimization, while also addressing the need for coverage-aware evaluation in 3D scene generation. AI

IMPACT This research could advance the creation of 3D assets from text, impacting fields like virtual reality and game development.

RANK_REASON The cluster contains a research paper detailing a new method for 3D scene generation.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

OrbitForge generates 3D scenes from text via video synthesis and Gaussian Splatting

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Chenrui Fan, Paolo Favaro ·

    OrbitForge: Text-to-3D Scene Generation via Reconstruction-Anchored Video Synthesis

    arXiv:2606.24799v1 Announce Type: cross Abstract: Generic text-to-video models can be used as rich open-world scene priors. Despite the high quality of today's generated videos, they do not directly yield reliable 3D assets: camera motion is difficult to control, view coverage is…

  2. arXiv cs.AI TIER_1 English(EN) · Paolo Favaro ·

    OrbitForge: Text-to-3D Scene Generation via Reconstruction-Anchored Video Synthesis

    Generic text-to-video models can be used as rich open-world scene priors. Despite the high quality of today's generated videos, they do not directly yield reliable 3D assets: camera motion is difficult to control, view coverage is partial, and frames often contain inconsistencies…