AI Models for 3D Artists
Creating 3D models from text or images now takes minutes. In this collection you'll find the latest tools and open-source AI models to accelerate your 3D modeling process.
Tools
Meshy
Meshy is an AI-powered 3D model generation platform that enables users to create 3D assets from text descriptions or 2D images in minutes rather than hours. Founded in 2023, Meshy aims to democratize 3D content creation by eliminating the expertise barrier traditionally required by professional modeling software. The platform offers two primary generation methods: text-to-3D, where users describe objects in natural language and receive complete models with geometry, textures, and materials, and image-to-3D, which extracts depth and surface details from 2D reference images to produce textured 3D models. Beyond generation, Meshy provides AI texture creation that can apply or modify textures on existing models. Animation and rigging support enable direct integration into game development workflows. Extensive file format support including GLB, FBX, OBJ, STL, and USDZ ensures compatibility with Unity, Unreal Engine, Blender, and other major 3D tools. The multi-stage AI pipeline generates base geometry first, then applies detailed textures and PBR materials, with users able to guide results through style presets and polygon density controls. API access and batch generation capabilities enable integration into production pipelines. Meshy serves independent game developers for rapid prototyping and asset production, architects and interior designers for concept visualization, e-commerce companies for 3D product models, and educators creating three-dimensional content without complex modeling skills. The freemium pricing model offers limited free generations, with paid subscriptions providing higher resolution, priority processing, and commercial use licensing. While outputs may require refinement for professional use, Meshy significantly accelerates the 3D content production pipeline across industries.
Tripo AI
Tripo AI is a fast AI-powered 3D model generation platform that transforms text descriptions and images into production-ready 3D assets. Built on proprietary Algorithm 3.0 technology, it achieves 15-60 second generation times per model, among the fastest in the industry. Text-to-3D creates complete models from natural language descriptions, while image-to-3D extracts three-dimensional models from photographs or concept sketches. The platform targets clean topology and PBR textures for direct import into game engines and 3D software. Output formats include GLB, FBX, OBJ, and STL for 3D printing. An official Blender plugin enables direct workflow integration. Rigging and animation support allow models to carry motion data. API access enables integration into custom applications and automated pipelines. Tripo AI serves independent game developers for rapid asset production, 3D printing enthusiasts generating physical prototypes, AR and VR content developers, architecture professionals for concept visualization, and students creating 3D content without modeling skills. The freemium model offers limited free generations with attribution requirements, while paid plans include higher resolution, commercial licensing, priority processing, API access, and batch generation. Independent testing suggests roughly one in ten generated models is production-ready without manual cleanup. Despite this, Tripo AI remains a strong choice for users prioritizing speed and accessibility, with Algorithm 3.0 continuously improving through updates.
Luma Genie
Luma Genie is an AI-powered 3D model generation platform that creates three-dimensional objects from text prompts and reference images in under ten seconds, making it one of the fastest text-to-3D tools currently available. The platform uses advanced neural radiance field technology and generative AI to interpret natural language descriptions and produce detailed 3D models complete with geometry, textures, and materials. Users simply type a description of the desired object, and the AI generates a viewable 3D model that can be rotated, inspected, and exported for use in professional workflows. Luma Genie exports in industry-standard formats including GLB, FBX, and OBJ, ensuring compatibility with major 3D software such as Blender, Unity, Unreal Engine, and other modeling and game development environments. The platform excels at rapid ideation and concept exploration, allowing designers and artists to quickly visualize ideas before committing to detailed manual modeling. It handles a wide range of object types from simple geometric shapes to complex organic forms, architectural elements, characters, and product concepts. Luma Genie primarily serves product designers exploring early-stage concepts, game developers needing quick 3D asset prototypes, architects visualizing spatial ideas, 3D artists seeking creative starting points, and educators teaching 3D modeling concepts. The interface is deliberately minimal, featuring just a text prompt field for maximum simplicity and accessibility. The free plan provides basic generation capabilities with standard quality output, while the Pro plan at approximately thirty dollars per month offers higher resolution models, more daily generation credits, priority processing, and advanced export options for professional production pipelines requiring higher-fidelity 3D assets.
Spline AI
Spline AI is the artificial intelligence component of Spline, a web-based 3D design tool that enables designers and developers to create interactive 3D content directly in the browser. Founded in 2020, Spline uniquely combines 3D design, AI generation, and web publishing in a single platform, replacing code-heavy workflows with a visual editor. Text-to-3D object generation converts natural language descriptions into three-dimensional models, while image-to-3D conversion extracts dimensional models from 2D reference images. Beyond AI generation, Spline provides powerful tools for interactive 3D experiences: physics simulation, mouse and touch interactions, state machines, and animation timelines within the browser. Real-time collaboration enables multiple designers to work simultaneously on the same scene. Professional visuals are supported through a custom shader editor, post-processing effects, and advanced lighting tools. Generated objects can be edited directly with materials, textures, animations, and interaction rules defined without code. Output deploys as embeddable iframes, standalone applications, or exported 3D files, with official libraries for React, Next.js, and vanilla JavaScript ensuring seamless web integration. Spline AI targets web designers, UI/UX professionals, front-end developers, marketing teams adding interactive 3D to product pages, and game prototypers. The free plan offers unlimited projects with basic exports, while Pro provides higher resolution, custom domain publishing, expanded AI quotas, and team collaboration. Spline offers a browser-based alternative to heavy desktop applications like Blender while bridging the gap between design and development for interactive 3D web content.
Kaedim
Kaedim is an AI-powered platform based in London, specializing in converting concept art, product photos, and design sketches into production-ready 3D models. The platform combines AI generation with human quality control to maintain professional standards. The core image-to-3D conversion produces complete models with detailed geometry, UV mapping, and PBR textures from a single drawing or photograph. Automatic texturing applies realistic material properties to make models render-ready. Level of Detail support enables optimization for different performance requirements, critical for mobile games and web applications. Clean UV unwrapping minimizes texture distortion for professional workflow integration. Export includes FBX, OBJ, and GLTF formats, compatible with Blender, Maya, Unity, and Unreal Engine. The workflow reduces traditional 3-hour modeling to approximately 10 minutes. Kaedim excels with hard-surface objects like vehicles, accessories, and furniture at 85-90 percent accuracy, though organic shapes like characters may see 70-80 percent accuracy. The platform serves professional game studios and 3D content teams, with independent developers using it for high-volume asset production and AAA studios for rapid concept art prototyping. E-commerce companies convert product photos into 3D models for augmented reality, while architecture firms obtain quick visualizations from drawings. Pricing is credit-based with enterprise plans offering volume discounts, priority processing, and API access. The platform targets professional teams rather than hobbyists.
Models
Point-E
Point-E is a 3D generation system developed by OpenAI that produces colored 3D point clouds from text descriptions through a two-stage cascading approach. Released in December 2022, it was one of the first publicly available text-to-3D models from a major AI lab. The system works in two stages: first, a text-conditioned DALL-E-based image generation model creates a synthetic view of the described object, then a second diffusion model generates a 3D point cloud conditioned on that image. This cascading design produces results in just one to two minutes on a single GPU, dramatically faster than optimization-based methods like DreamFusion which require hours of processing. The generated point clouds consist of thousands of colored points representing the 3D shape and appearance of objects. While point clouds are less immediately usable than meshes for production 3D applications, they can be converted to meshes through standard reconstruction algorithms like Poisson surface reconstruction. Point-E supports generation of a wide variety of objects including animals, vehicles, furniture, and everyday items. The model is fully open source under the MIT license with code and pre-trained weights available on GitHub. As a pioneering early contribution to fast text-to-3D generation, Point-E demonstrated that trading some quality for dramatically improved speed was a viable approach, directly influencing the development of subsequent models like Shap-E. The system remains valuable for researchers exploring 3D generation pipelines and for rapid concept visualization where speed matters more than production-ready quality.
Shap-E
Shap-E is a 3D generation model developed by OpenAI that creates 3D objects directly from text descriptions or input images by generating the parameters of implicit neural representations. Unlike its predecessor Point-E which produces point clouds, Shap-E generates Neural Radiance Fields (NeRF) and textured meshes that can be directly rendered and used in 3D applications. The model employs a two-stage training approach where an encoder first learns to map 3D assets to implicit function parameters, then a conditional diffusion model learns to generate those parameters from text or image inputs. This architecture enables fast generation times of just a few seconds on a modern GPU. Shap-E supports both text-to-3D and image-to-3D workflows, making it versatile for different creative pipelines. The generated 3D objects include color and texture information, producing more complete results than geometry-only approaches. Released under the MIT license in May 2023, the model is fully open source with pre-trained weights available on GitHub. While the output quality may not match optimization-heavy methods like DreamFusion that take minutes per object, Shap-E offers a practical balance between speed and quality for rapid prototyping and concept exploration. The model is particularly useful for game developers, 3D artists, and researchers who need quick 3D visualizations from text prompts. As one of OpenAI's contributions to open-source 3D AI research, Shap-E has influenced subsequent work in fast feed-forward 3D generation approaches.
TRELLIS
TRELLIS is a revolutionary AI model developed by Microsoft Research that generates high-quality 3D assets from text descriptions or single 2D images using a novel Structured Latent Diffusion architecture. Released in December 2024, TRELLIS represents a fundamental advancement in 3D content generation by operating in a structured latent space that encodes geometry, texture, and material properties simultaneously rather than treating them as separate stages. The model produces complete 3D meshes with detailed PBR (Physically Based Rendering) textures, enabling direct use in game engines, 3D rendering pipelines, and AR/VR applications without extensive manual post-processing. TRELLIS supports both text-to-3D generation where users describe desired objects in natural language and image-to-3D reconstruction where a single photograph is converted into a full 3D model with inferred geometry from occluded viewpoints. The structured latent representation ensures geometric consistency and prevents the common artifacts seen in other 3D generation approaches such as floating geometry, texture seams, and unrealistic proportions. TRELLIS outputs standard 3D formats including GLB and OBJ with UV-mapped textures, making integration with professional tools like Blender, Unity, and Unreal Engine straightforward. Released under the MIT license, the model is fully open source and available on GitHub. Key applications include rapid 3D asset prototyping for game development, architectural visualization, product design mockups, virtual staging for real estate, educational 3D content creation, and metaverse asset generation. The model particularly benefits indie developers and small studios who lack resources for traditional 3D modeling workflows.