Chat Modeling: Natural Language-based Procedural Modeling of Biological Structures without Training
<|reference_start|>Chat Modeling: Natural Language-based Procedural Modeling of Biological Structures without Training: 3D modeling of biological structures is an inherently complex process, necessitating both biological and geometric understanding. Additionally, the complexity of user interfaces of 3D modeling tools and the associated steep learning curve further exacerbate the difficulty of authoring a 3D model. In this paper, we introduce a novel framework to address the challenge of using 3D modeling software by converting users' textual inputs into modeling actions within an interactive procedural modeling system. The framework incorporates a code generator of a novel code format and a corresponding code interpreter. The major technical innovation includes the user-refinement mechanism that captures the degree of user dissatisfaction with the modeling outcome, offers an interactive revision, and leverages this feedback for future improved 3D modeling. This entire framework is powered by large language models and eliminates the need for a traditional training process. We develop a prototype tool named Chat Modeling, offering both automatic and step-by-step 3D modeling approaches. Our evaluation of the framework with structural biologists highlights the potential of our approach being utilized in their scientific workflows. All supplemental materials are available at https://osf.io/x4qb7/.<|reference_end|>
@article{jia2024chat,
    title={Chat Modeling: Natural Language-based Procedural Modeling of Biological
  Structures without Training},
    author={Donggang Jia, Yunhai Wang and Ivan Viola},
    journal={arXiv preprint arXiv:2404.01063},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.01063},
    primaryClass={cs.HC cs.GR}
}