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Photorealistic Learned Landscapes for Augmented Reality
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HoloDreamer: Holistic 3D Panoramic Scene Generation From Text Descriptions.

Haiyang Zhou, Xinhua Cheng, Wangbo Yu

    IEEE Transactions on Visualization and Computer Graphics
    |December 25, 2025
    PubMed
    Summary

    HoloDreamer generates complete 3D scenes from text by first creating a full panorama and then using 3D Gaussian Splatting for reconstruction. This method ensures consistent, high-quality, and fully enclosed 3D scene generation.

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    Area of Science:

    • Computer Vision
    • Computer Graphics
    • Artificial Intelligence

    Background:

    • Text-driven 3D scene generation is advancing rapidly due to text-to-image diffusion models.
    • Current outpainting-based methods struggle with global consistency and completeness in generated 3D scenes.

    Purpose of the Study:

    • To introduce HoloDreamer, a novel framework for generating view-consistent and fully enclosed 3D scenes from text prompts.
    • To overcome limitations of existing methods in global consistency and completeness.

    Main Methods:

    • HoloDreamer initializes scenes with a high-definition panorama generated using a pipeline combining multiple diffusion models for stylized output.
    • It leverages 3D Gaussian Splatting (3D-GS) for rapid 3D scene reconstruction.
    • An enhanced two-stage panorama reconstruction optimizes 3D-GS to inpaint missing regions and improve scene integrity.

    Main Results:

    • The proposed method generates stylized and detailed equirectangular panoramas from complex text prompts.
    • HoloDreamer achieves superior visual consistency, harmony, and reconstruction quality compared to prior works.
    • The framework effectively produces fully enclosed 3D scenes with enhanced rendering robustness.

    Conclusions:

    • HoloDreamer offers a robust solution for text-driven 3D scene generation, addressing key challenges in consistency and completeness.
    • The framework facilitates the creation of high-quality, fully enclosed 3D scenes suitable for applications in VR, gaming, and film.