Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation

Research article (2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023) · cited 310× · AI/ML
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Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation

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Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation. Retrieved May 24, 2026, from https://4ort.xyz/entity/fantasia3d-disentangling-geometry-and-appearance-for-high-quality-text-to-3d-content-creation
MLA “Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fantasia3d-disentangling-geometry-and-appearance-for-high-quality-text-to-3d-content-creation.
BibTeX @misc{4ortxyz_fantasia3d-disentangling-geometry-and-appearance-for-high-quality-text-to-3d-content-creation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation}}, year = {2026}, url = {https://4ort.xyz/entity/fantasia3d-disentangling-geometry-and-appearance-for-high-quality-text-to-3d-content-creation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation — https://4ort.xyz/entity/fantasia3d-disentangling-geometry-and-appearance-for-high-quality-text-to-3d-content-creation (retrieved 2026-05-24)

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