Implementing Generative AI into Realtime Visualization Workflow John Deere

Format:

Book

Conference/Event

Author/Creator:

Arunachalam, Haripriya, author.

Contributor:

Gumaste, Amey

Kumar, Pravin

Conference Name:

Off-Highway Technical Conference 2025 (2025-11-06 : Pune, India)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2025

Summary:

The development of 3D game ready models is a critical component of the asset creation workflow in industries. However, traditional modeling techniques often demand extensive manual input, particularly in the areas of modeling, retopology, and texturing. To address challenges, we propose the integration of generative AI technologies into the 3D modeling workflow, aiming to enhance efficiency and streamline processes.This paper presents a comprehensive methodology that leverages advanced algorithms, machine learning techniques, and specialized software to automate repetitive tasks associated with 3D asset creation. By harnessing the power of generative AI, we aim to significantly reduce the manual effort required to produce high-quality 3D models, thereby accelerating the overall development timeline. The aim is to enter a prompt/Image as input to get a fully developed Model.Through a series of experimental implementations, we are aiming to demonstrate the effectiveness of our proposed framework in reducing development time without compromising quality. By automating the more tedious aspects of 3D modeling, professionals can focus on higher-level design decisions, fostering innovation and creativity.Moreover, we discuss the broader implications of adopting generative AI in the asset development workflow. The ability to streamline processes and improve productivity can transform how companies approach 3D asset creation, facilitating a more agile response to market demands and enhancing flexibility in project execution. As the industry continues to evolve, integrating these technologies could redefine standards in 3D modeling practices, paving the way for new opportunities and advancements in digital asset production.In conclusion, our research presents a pioneering approach to integrating generative AI into the 3D modeling workflow, with promising results that highlight its potential to revolutionize asset development processes. As the industry continues to evolve, embracing these technologies will be essential for maintaining a competitive edge and driving future advancements in the field of 3D design and production

Notes:

Vendor supplied data

Publisher Number:

2025-28-0324

Access Restriction:

Restricted for use by site license