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

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

2025-08-07

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

Summary

This paper talks about Sel3DCraft, a new tool that makes it easier for people to turn text descriptions into 3D models. It uses a combination of smart retrieval and generation techniques, scores models from different angles, and provides visual feedback connected to user prompts.

What's the problem?

The problem is that creating 3D models from text is hard because existing tools often produce results that don’t match the user’s ideas well, and designers find it difficult to adjust the outputs based on their needs.

What's the solution?

The solution was to develop a dual system that searches for examples and generates new 3D content, then evaluates it from multiple viewpoints using large language models. It also shows visual analytics that help users understand and guide the creation process using text prompts.

Why it matters?

This matters because it gives designers more control and creativity in making 3D objects from simple text, speeding up the design process and making advanced 3D modeling accessible to more people.

Abstract

Sel3DCraft enhances text-to-3D generation through a dual-branch retrieval and generation system, multi-view hybrid scoring with MLLMs, and prompt-driven visual analytics, improving designer creativity.