The 3D modeling space is experiencing a surge of excitement as generative AI begins to redefine creative workflows. This transformative technology can automate complex tasks, generate assets from simple inputs, and expand creative possibilities, making 3D modeling more accessible and efficient. As the technology evolves, curiosity also grows among both professional and non-professional 3D artists, as the emergence of AI and its technology also holds the potential to reshape traditional approaches to art and inspire innovation.
In this article, we explore the transformative impact of generative AI and its potential to be both a powerful tool and collaborator for artists.
Generative AI is a type of artificial intelligence that focuses on producing new content with a wide range of outputs and capabilities such as writing, images, videos, 3D models, and music. It uses machine learning to generate outputs based on large datasets of existing content. Beyond replication, generative AI can create new ideas, offer creative variations, and assist in other tasks such as conceptualization and rapid prototyping.
In industries such as entertainment and design, it can be used to enhance productivity and efficiency, spark creativity, and provide access to artistic skills to non-experts or beginners in the field.
The main principles as to how generative AI creates content is processing a user input (e.g. a text or image) and analyzing massive datasets to identify patterns between the input and the available data. For 3D models, there are two primary methods:
Text-to-3D: The AI interprets the text prompt and predicts the 3D geometry, textures, and colors that match the description.
Image-to-3D: The AI estimates the depth, shading, and shape of the image input to extrapolate a 3D structure.
This approach revolutionizes fields such as gaming, architectural visualization, and film by automating and accelerating 3D content creation.
By serving as a partner rather than a replacement, AI helps artists delve into new artistic territories and discover new techniques and inspirations to support their own visions.
Manually 3D modeling is a time-intensive process that requires technical skills, especially with more complicated or intricate models. However, through AI’s streamlined and data-driven approach, generative AI is able to significantly reduce the time it takes to create complex 3D models. Pre-trained models are used to automate workflows and speed up time as tasks such as geometry creation, texture mapping, and rendering, which could take hours or days manually, are handled automatically by the AI to do the work in just a few seconds or minutes.
AI can significantly enhance creativity and act as a co-creator in artistic processes. Through this, artists can help explore new creative possibilities in various ways such as:
Generating ideas and concepts
AI tools such as OpenAI’s DALL-E and Adobe Firefly can generate visual ideas based on simple text prompts, offering a base for creative projects. These tools assist in brainstorming unique concepts by transforming ideas into tangible visuals, making it easier to explore different artistic directions.
Experimentations
Due to AI’s ability to analyze existing works, artists may also use AI as a tool to experiment with various styles or genres. Existing ideas and concepts can be tested out to see its feasibility, or even have visual examples such as storyboards created to see the possibilities.
Expanding techniques
AI may also be integrated into existing workflows to enhance visuals and speed up processes. These tools can be used to create digital art assets that may be placed into or blended with other art elements to form a final piece.
To hobbyists and non-experts in 3D modeling, generative AI helps in automating complex processes such as creating 3D assets. This helps to lower the learning curve of 3D or provide a base prototype that can be built upon further. Additionally, AI reduces the cost of traditional 3D modeling software, making it possible for hobbyists to create 3D content without investing in expensive tools, subscriptions, or classes.
With this form of rapid prototyping and cross-disciplinary applications, generative AI provides accessibility to 3D modeling to a broad range of people to explore and innovate in the 3D space.
Thanks to the rise of generative AI, the game development industry is pivoting into a new direction in terms of workflow and how assets can be done.
Concepts
The game The Callisto Protocol has made use of generative AI in its workflow by combining their key inspirations for buildings with AI to get a more alien-like architectural design, as well as the objects and characters. This became the basis for their concept art that was later on refined in production.
Assets
Various assets ranging from props, characters, environments, music, textures, and HDRis can all be created by generative AI and imported into game engines for ready use. The assets can be made with simple prompts and may also be further tweaked either in the AI tool itself or in other software. Below is a video example of how an text-to-3D AI tool can be used make assets and how they can be uploaded seamlessly:
In some gaming platforms, particularly those focused in UGC (user generated content) such as Roblox, creativity and imagination can often outweigh perfectly polished work, making generative AI a useful tool for both productivity and growth as a game developer.
Architectural Visualization is also being transformed by the integration of generative AI, in which new ways of creating models and visualizations have come into play. AI is able to generate realistic 3D renderings with remarkable efficiency, as well as layouts and architectural plans.
Enhancing models and renderings
Generative AI comes in handy when it comes to modifying existing models or renderings for architectural visualization. Designers are able to utilize the tool and its strengths, enabling faster rendering and iterations by providing a base for the machine to start with. For instance, a base model may be given to the machine in which the machine enhances it in a render and makes any changes based on simple text prompts.
Visualization
AI-generated visualizations are particularly growing within the architecture space, as architects use generative AI to create design concepts for projects. AI tools such as DALL-E, Midjourney, and Stable Diffusion were proved to be useful in these cases as structural ideas and prototypes were quickly produced and passed as sketches.
Generative AI’s technology empowers architects to discover and experiment with new designs, refine concepts, and present visually stunning pieces in just a matter of seconds.
Generative AI is also reshaping the entertainment and media industry by revolutionizing how characters and environments are produced for movies and TV shows. With its ability to generate highly realistic visuals, AI allows filmmakers and designers to create stunning backdrops and characters, enhance CGI effects, and streamline production workflows.
Characters
Generative AI can play a pivotal role in creating lifelike, or even stylized, characters through generating facial features, clothing, and expressions. As AI evolves, it also learns how to make more consistent characters, as well as animation and voiced dialogues. Below, Futurepedia shows a workflow breakdown of how to create AI characters to be used in cinematics:
Environment
In terms of environments, AI is also revolutionizing the way filmmakers can create words, whether it be a futuristic city or a historical, fantasy landscape. Generative AI is able to produce stunning visuals for these settings, reducing the time spent on creating all the assets digitally or even in physical sets:
As AI continues to evolve, it becomes a valuable tool for crafting compelling visuals and elevating the art of filmmaking. It also has the potential to empower anyone and everyone to have more creative expression regardless of experience.
Generative AI works best as a collaborator rather than a replacement for human creativity. By automating repetitive or difficult tasks, offering design suggestions, or generating art, AI assists artists in their projects by allowing them to focus more on their creative vision without having to worry about the typical obstacles. This collaboration blends the emotional and creative depth of humans with AI’s ability to process vast amounts of data and quick art generation, making it a powerful fusion and potential to revolutionize the way human artists and generative AI technology work together as a team.
Generative AI is not just a tool for creating art– it’s also a powerful learning aid for artists looking to improve their craft. It is not a replacement for an artist’s skills, but rather a learning tool that can help in evolving as a creator. AI-generated art can serve as inspiration or a starting point to be further built upon and refined, prototyping, visualizing concepts, and more. All of this makes generative AI an excellent resource for improving one’s craft and artistic limits, and staying ahead in the rapidly changing art world. Over time, artists can gain a deeper understanding of their strengths and weaknesses, enabling them to refine their techniques and discover new artistic solutions.
Generative AI is revolutionizing 3D modeling by making it easier, faster, and more affordable for both beginners and professionals in the field. With its increasingly transformative potential, this technology serves as a powerful tool for innovation and creativity by allowing users to create detailed 3D assets from simple prompts that can be easily integrated into various platforms.
By embracing generative AI and as the technology continues to evolve, creators are empowered to explore new artistic frontiers and unlock their full creative potential. This makes it a powerful tool for innovation and creativity– something that anyone, including you, can leverage to enhance your artistic expression.