Table of Contents
Introduction
AI 3D generation is revolutionizing the way we create virtual assets, environments, and more. By leveraging various techniques such as text-to-3D, image-to-3D, and video-to-3D models, creators can generate detailed 3D models without extensive prior knowledge. This guide provides a comprehensive list of AI 3D models, their applications, and tools you can use today.
Text-to-3D Models
DreamFusion
Created by Google and UC Berkeley, DreamFusion was first published in September 2022. It generates 3D models from text inputs using 2D images from the Imagen text-to-image diffusion model. Learn more about DreamFusion.
Point-E
Developed by OpenAI and first published in December 2022, Point-E generates 3D models from text inputs and images, similar to DALL-E. Discover how Point-E works.
GAUDI
Created by Apple and first published in August 2022, GAUDI generates 3D scenes from text prompts, allowing users to redraw scenes from any angle using natural language. Explore the capabilities of GAUDI.
MVDream
Developed by ByteDance and the University of California, San Diego, MVDream was first published on August 31, 2023. It uses a diffusion model to generate high-quality 3D renderings from text inputs. Find out more about MVDream.
Magic3D
Created by Nvidia and first published in March 2023, Magic3D generates high-quality 3D mesh models from text prompts using a two-stage process involving low-resolution diffusion and a sparse 3D hash grid structure. Learn about the process of Magic3D.
Image-to-3D Models
NeRF (Neural Radiance Fields)
NeRF (Neural Radiance Fields) is a machine learning model released in March 2020. It generates 3D models from multiple viewpoint images and can render these models from any angle. NeRF uses a neural network to learn the 3D structure and appearance of a scene, allowing for highly detailed and realistic 3D reconstructions.
COLMAP
Developed by Johannes L. Schönberger from Microsoft Mixed Reality & AI Lab, COLMAP was first published in October 2021. It is an open-source 3D reconstruction pipeline that generates detailed 3D environments from a handful of images. Discover how COLMAP works.
Video-to-3D Models
Video-to-3D models are used to transform video content into 3D models, providing a dynamic way to create virtual environments and objects from video footage. These techniques are valuable for applications in film, gaming, and virtual reality.
AI 3D Applications
Gliastar
An AI-powered video creation tool that animates a brand’s characters through text inputs. Provide a 2D or rough 3D representation of your character, and Gliastar will generate a 3D animation. Try Gliastar.
3DFY.ai
Creates high-quality 3D models from text prompts or a single image. It offers a text-to-3D web service for users to try out their own prompts. Experience 3DFY.ai.
Spline AI
Allows users to generate 3D models and representations in real time using natural language inputs. It can also create animations and textures.
Meshcapade
Builds virtual avatars using generative AI to create accurate digital humans for business applications like e-commerce. Try Meshcapade.
Masterpiece Studio
Generates 3D assets using AI, allowing users with non-technical backgrounds to create 3D content from concept to animation. Explore Masterpiece Studio.
Luma AI
Generates photorealistic 3D assets and environments in minutes and is available via mobile for iOS users.
Conclusion
AI 3D model generation tools are making it easier than ever to create high-quality 3D assets. Whether you need to generate models from text, images, or videos, these tools offer powerful solutions to meet your needs.