InstructMesh: Selective Refinement of Generative 3D Models for Fabrication
[Sztuczna inteligencja] Autorzy: Faraz Faruqi, Ahmed Katary, Demircan Tas i 10 więcej
Recent advances in generative AI allow users to create 3D models from text or images. However, these models prioritize visual plausibility over geometric accuracy, often generating results with flaws that compromise their intended use post-fabrication. We present InstructMesh, an interactive post-generation refinement tool that enables selective repair of generative 3D models through region selection and targeted operations, such as opening or sealing voids, or adjusting local thickness. Users can invoke edit operations via natural language prompts or slider controls. By operating directly on the intermediate latent representation, InstructMesh allows users to apply robust geometric corrections without requiring expert modeling skills. To inform our design, we first analyze common fabrication-related failure modes in outputs from state-of-the-art generative tools. We then conduct two us…
- Kategoria arxiv
- cs.AI
- Kategoria
- Sztuczna inteligencja
- Doi
- 10.1145/3830398.3830647