Anil Kondla
Last Updated on April 25, 2023 by Team Experts
With the popularity of ChatGPT, Midjourney and Google’s Bard, generative AI has been booming recently. Generative AI has become the talk of the town, demonstrating great potential in various fields, including 3D modeling. Several applications, such as gaming, architecture, and product design, can now benefit from using deep learning algorithms to generate realistic 3D models. Our discussion in this article will explore the concept of generative AI and its use in 3D modeling.
What is Generative AI?
Generative AI creates new data similar to the training data it was given. It differs from discriminative AI, which can only recognize or classify data based on its characteristics. Generally, generative AI models can produce samples that are indistinguishable from the original datasets by training them on large datasets. Using the training data as a guide, it generates new data by analyzing the patterns. Several generative AI models like GANs, VAEs or CGANs exist, all of which use different methods to train the model and generate new content. This new content includes text, codes, images, videos, and audio. Let us explore how generative AI is beneficial in 3D modeling.
The Role of Generative AI in 3D modeling
With generative AI, new possibilities for creating realistic and detailed 3D models have opened up. A 3D model was traditionally created by hand using modeling software, which was a labor-intensive and time-consuming process. Generative AI allows for the automatic generation of 3D models, saving time and effort.
Generative AI models for 3D modeling usually work by a text-to-image prompt approach. The users have to enter textual descriptions of what they need to make and the AI model, in turn, generates the 3D image/shape based on it.
Applications of Generative AI in 3D modeling
Generative AI in developing 3D models has the following potential use cases.
- Architecture: With the help of Generative AI, architects and designers can create 3D models of buildings, interiors, and landscapes quickly and efficiently.
- Gaming: Using generative AI can reduce the time and cost of manually modeling game characters, objects, and environments.
- Product design: Generative AI can be used to create 3D models of products, allowing designers to explore different design options and create variations quickly.
- Metaverse: Generative AI models can be leveraged to generate 3D models of avatars, 3D spaces, objects, landscapes, environments and more in a metaverse ecosystem.
Generative AI development company
To create new and innovative products using artificial intelligence (AI), more companies are turning to generative AI. Understanding what generative AI involves and what to look for in a generative AI development company is important when considering developing one for your company. If you are interested in choosing a generative AI development company, you need to look into the following categories:
- The expertise of the company in AI and generative AI development.
- The company’s total number of developers and years of experience.
- Check for the company portfolio and their previous works.
- Look for a company that offers ongoing support and maintenance services.
- Choose a company that can customize the generative AI system according to your needs.
Conclusion
Generative AI is a robust technology that produces new and innovative content, including 3D models. By generating realistic, high-quality 3D models quickly and efficiently, generative AI can help to reduce the time and cost associated with traditional modeling. In addition, it offers the possibility of creating new and innovative designs not possible using traditional methods. As technology advances, generative AI will increasingly be used in 3D modeling and other applications. Using the right Generative AI tools and expertise can transform how 3D models are created and designed.
