Sel3DCraft: Interactive Visual Prompts for User-Friendly Text-to-3D Generation

Text-to-3D (T23D) generation has transformed digital content creation, yet remains bottlenecked by blind trial-and-error prompting processes that yield unpredictable results. While visual prompt engineering has advanced in text-to-image domains, its application to 3D generation presents unique challenges requiring multi-view consistency evaluation and spatial understanding. We present Sel3DCraft, a visual prompt engineering system for T23D that transforms unstructured exploration into a guided visual process. Our approach introduces three key innovations: a dual-branch structure combining retrieval and generation for diverse candidate exploration; a multi-view hybrid scoring approach that leverages MLLMs with innovative high-level metrics to assess 3D models with human-expert consistency; and a prompt-driven visual analytics suite that enables intuitive defect identification and refinement. Extensive testing and a user study demonstrate that Sel3DCraft surpasses other T23D systems in supporting creativity for designers.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2025-12-02
DOI
https://doi.org/10.1109/tvcg.2025.3633875
Primary Topic
Interactive and Immersive Displays
Type
article
Field-Weighted Citation Impact
0.00
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article

Sel3DCraft: Interactive Visual Prompts for User-Friendly Text-to-3D Generation

Tianyi Liang, Yifei Huang, Hao Huang, Changbo Wang et al.
IEEE Transactions on Visualization and Computer Graphics
Interactive and Immersive Displays
article

Sel3DCraft: Interactive Visual Prompts for User-Friendly Text-to-3D Generation

Tianyi Liang, Yifei Huang, Hao Huang, Changbo Wang, Haiwen Huang, Chenhui Li, Liangyu Chen, Shiqi Jiang, Nan Xiang
article en

Abstract

Text-to-3D (T23D) generation has transformed digital content creation, yet remains bottlenecked by blind trial-and-error prompting processes that yield unpredictable results. While visual prompt engineering has advanced in text-to-image domains, its application to 3D generation presents unique challenges requiring multi-view consistency evaluation and spatial understanding. We present Sel3DCraft, a visual prompt engineering system for T23D that transforms unstructured exploration into a guided visual process. Our approach introduces three key innovations: a dual-branch structure combining retrieval and generation for diverse candidate exploration; a multi-view hybrid scoring approach that leverages MLLMs with innovative high-level metrics to assess 3D models with human-expert consistency; and a prompt-driven visual analytics suite that enables intuitive defect identification and refinement. Extensive testing and a user study demonstrate that Sel3DCraft surpasses other T23D systems in supporting creativity for designers.

IEEE Transactions on Visualization and Computer GraphicsVol. 32(1)
East China Normal University (CN)
Openalex Percentile: Top 61%
Interactive and Immersive Displays
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