# 3D Modeling

Fast3D is a leading AI-driven 3D model generator that can create high-quality 3D models from text or images in seconds. Its core advantages include fast generation, professional-grade material synthesis, and wide application areas, including games, 3D printing, AR/VR, etc. Fast3D's pricing plans suit users with different needs, from individual creators to professional teams.

AI Doll uses advanced AI technology, generating images through GPT 4.0, to transform your text descriptions into exquisite physical action figures. By means of AI image generation, 3D modeling, and professional printing, AI Doll provides a comprehensive solution for creating AI action figures.

Blender MCP is a plugin that connects Blender with Claude AI via the Model Context Protocol (MCP), enabling AI to directly interact with and control Blender. This integration significantly improves 3D modeling efficiency and is suitable for designers and developers.

Vibe Draw is a powerful AI-driven platform that quickly transforms rough sketches into professional-quality 3D models. Its intuitive tools make it easy for designers and developers alike, especially those who want to quickly realize their creative visions. This product can optimize design workflows and is suitable for games, 3D printing, and AR/VR fields. Vibe Draw is suitable for all types of creators, providing a simple and efficient way of 3D design.

Cube is a powerful 3D intelligent generation model designed to help developers create various 3D assets and scenes on the Roblox platform. The model features 3D object generation, character animation rigging, and procedural script generation. It significantly enhances creator productivity, sparks more creativity, and helps users build rich 3D experiences faster. The current version is open-source, aiming to share with the research community to advance 3D intelligence. Suitable for developers and creators of all sizes, supporting experimentation, innovation, and promoting responsible use.

Style3D is a new 3D apparel simulation and modeling software that uses the latest AI technology to improve the efficiency and accuracy of garment design. The software significantly reduces the cost of producing physical sample garments and allows for real-time evaluation and modification of designs during the design phase, enabling designers to iterate design solutions more quickly. Due to its powerful simulation capabilities and intuitive user interface, Style3D is widely used in fashion, animation, and gaming industries. The software is subscription-based, and users can choose different subscription plans according to their needs.

MIDI is an innovative image-to-3D scene generation technology that utilizes a multi-instance diffusion model to directly generate multiple 3D instances with accurate spatial relationships from a single image. The core of this technology lies in its multi-instance attention mechanism, which effectively captures inter-object interactions and spatial consistency without complex multi-step processing. MIDI excels in image-to-scene generation, suitable for synthetic data, real-world scene data, and stylized scene images generated by text-to-image diffusion models. Its main advantages include efficiency, high fidelity, and strong generalization ability.

MeshPad is an innovative generative design tool that focuses on creating and editing 3D mesh models from sketch input. It achieves complex mesh generation and editing through simple sketch operations, providing users with an intuitive and efficient 3D modeling experience. The tool is based on triangular sequence mesh representation and utilizes a large Transformer model to implement mesh addition and deletion operations. Simultaneously, a vertex alignment prediction strategy significantly reduces computational cost, making each edit take only a few seconds. MeshPad surpasses existing sketch-conditioned mesh generation methods in mesh quality and has received high user recognition in perceptual evaluation. It is primarily aimed at designers, artists, and users who need to quickly perform 3D modeling, helping them create artistic designs in a more intuitive way.

Funes is an innovative online museum project that transforms global human architecture into 3D models through crowdsourced photogrammetry, aiming to create a free, accessible, and vast 3D database. Named after the 'Funes, the Memorious' from Argentinian writer Jorge Luis Borges, the project symbolizes the eternal preservation of humanity's material memory. Funes is not only a technological showcase but also a cultural heritage project, protecting the architectural heritage of human civilization through digital means.

Shapen is an innovative online tool that harnesses advanced image processing and 3D modeling technologies to convert 2D images into detailed 3D models. This technology represents a significant breakthrough for designers, artists, and creative professionals, as it greatly simplifies the creation of 3D models and lowers the barriers to 3D modeling. Users need not have extensive 3D modeling knowledge; simply uploading a picture allows for rapid generation of models suitable for rendering, animation, or 3D printing. The emergence of Shapen introduces new possibilities for creative expression and product design, while its pricing strategy and market positioning make it an ideal choice for individual creators and small studios.

Stable Point Aware 3D (SPAR3D) is an advanced 3D generation model launched by Stability AI. It enables real-time editing of 3D objects and complete structure generation from a single image in less than a second. SPAR3D employs a unique architecture, combining precise point cloud sampling and advanced mesh generation technology, providing unprecedented control for creating 3D assets. The model is freely available for both commercial and non-commercial use, with weights downloadable from Hugging Face, source code obtainable from GitHub, or access via the Stability AI developer platform API.

Text-to-CAD UI is a platform that generates B-Rep CAD files and meshes using natural language prompts. It operates through the ML-ephant API and is powered by Zoo, capable of directly converting users' natural language descriptions into precise CAD models. The significance of this technology lies in its ability to greatly simplify the design process, allowing non-professionals to easily create complex CAD models, thus democratizing and fostering innovation in design. According to background information, it was developed by Zoo with the aim of enhancing design efficiency through machine learning techniques. Pricing and positioning details are available after user login.

Explorer is a generative world model launched by Odyssey, designed to accelerate the creation of movie and game worlds through artificial intelligence technology, opening new forms of entertainment. Supported by Pixar co-founder Ed Catmull, it represents the next significant technological breakthrough in film, gaming, and the broader entertainment industry. Explorer has the capability to transform any image into a detailed 3D world, generating realistic environments while allowing for manual editing to meet diverse creative needs.

IC-Light V2-Vary is a lighting editing tool based on diffusion models, primarily addressing image generation and editing in complex lighting scenarios. It offers features like lighting consistency constraints, large-scale data support, and precise lighting editing. By ensuring that object appearances under different lighting conditions can be linearly combined through the theory of physical light transfer, it reduces image artifacts and maintains output consistency with actual physical lighting conditions. It is suitable for photographers, designers, and 3D modeling professionals, providing more possibilities for artistic creators.

LLaMA-Mesh is a technology that extends the capabilities of large language models (LLMs) pre-trained on text for generating 3D meshes. This technology leverages the spatial knowledge already embedded in LLMs, enabling conversational 3D generation and mesh understanding. The main advantage of LLaMA-Mesh lies in its ability to represent vertex coordinates and face definitions of 3D meshes as plain text, allowing direct integration with LLMs without the need to expand vocabularies. Key benefits include the capacity to generate 3D meshes from text prompts, on-demand generation of interleaved text and 3D mesh outputs, and the ability to understand and interpret 3D meshes. LLaMA-Mesh achieves mesh generation quality comparable to models trained from scratch while maintaining strong text generation performance.

The Snapdragon X Series is Qualcomm's new generation of product line, featuring a neural processing unit (NPU) that offers powerful AI capabilities for creators. This series significantly enhances the performance of mobile devices in image processing, audio production, and 3D modeling, while extending battery life to deliver an unprecedented mobile creation experience. The launch of the Snapdragon X Series marks a significant leap forward for mobile devices in the field of creative work, making professional-grade creation tools available anytime and anywhere.

GGHead is a 3D Generative Adversarial Network (GAN) based on 3D Gaussian scattering representation, designed to learn 3D head priors from a collection of 2D images. This technology simplifies the prediction process by leveraging the regularity of the UV space of template head meshes to predict a set of 3D Gaussian attributes. Key advantages of GGHead include high efficiency, high-resolution generation, full 3D consistency, and real-time rendering capabilities. It enhances the geometric fidelity of generated 3D heads through a novel total variation loss, ensuring that neighboring rendered pixels originate from close Gaussian points in UV space.

Kanai is an online design platform that allows users to create their dream homes through 3D scanning and model creation. Users can import 3D models of rooms and furniture, share their design visions, and collaborate with others. Utilizing advanced 3D technology, Kanai provides a highly interactive and intuitive design experience that helps users turn their imaginations into reality.

This method involves creating relightable radiance fields by leveraging priors extracted from 2D image diffusion models. The approach can convert multi-view data captured under single lighting conditions into a dataset with multi-illumination effects, represented through 3D Gaussian splats for relightable radiance fields. This method does not rely on precise geometric shapes and surface normals, making it well-suited for handling cluttered scenes with complex geometries and reflective BRDFs.

Stability AI is a company focused on generative artificial intelligence technology, offering a variety of AI models including text-to-image, video, audio, 3D, and language models. These models are capable of processing complex prompts, producing realistic images and videos, as well as high-quality music and sound effects. The company provides flexible licensing options, including self-hosted licenses and platform APIs, to meet diverse user needs. Stability AI is dedicated to offering high-quality AI services globally through open models.

World Labs is a company focused on spatial intelligence, dedicated to constructing large world models (Large World Models) to perceive, generate, and interact with the 3D world. The company was founded by renowned scientists, professors, scholars, and industry leaders in the AI field, including Professor Fei-Fei Li from Stanford University and Professor Justin Johnson from the University of Michigan. They have advanced 3D scene reconstruction and novel perspective synthesis through innovative techniques like Neural Radiance Fields (NeRF). World Labs is supported by notable investors such as Marc Benioff and Jim Breyer, and its technology has significant application value and commercial potential in the AI domain.

Render Artist is a platform dedicated to showcasing digital artworks, including 3D modeling, animation, AI-generated art, and more. It provides artists with a space to display their work from sketches to final rendered pieces, while also offering audiences opportunities to appreciate and learn about digital art. The platform emphasizes the integration of creativity and technology, showcasing the diversity and innovation within digital art.

Shusheng: Skyline LandMark is a real-world 3D model based on NeRF technology, achieving 4K HD training over an extensive area of 100 square kilometers, with capabilities for real-time rendering and free editing. This technology represents a new pinnacle in city-scale 3D modeling and rendering, boasting high efficiency for training and rendering, making it a robust tool for urban planning, architectural design, and virtual reality.

HeadGAP is an advanced 3D avatar creation model that can create realistic and animatable 3D avatars from a few or even a single image of the target individual. This model learns 3D head priors by leveraging a large-scale multi-view dynamic dataset and utilizes a Gaussian Splatting-based auto-decoding network for dynamic modeling. HeadGAP enables fast avatar personalization by learning the properties of Gaussian primitives through identity-sharing encoding and personalized latent codes.

Prompt3D is an online platform that allows users to generate 3D models using simple text prompts. This technology combines artificial intelligence with 3D modeling, speeding up and streamlining the design process. It is suitable for professionals and enthusiasts who need quick prototyping and 3D visualization.

SF3D is a deep learning-based 3D asset generation model that can rapidly create textured 3D models with UV mapping and material parameters from a single image. Unlike traditional methods, SF3D is specifically trained for mesh generation, integrating rapid UV mapping technology to generate textures directly rather than relying on vertex colors. Furthermore, this model learns material parameters and normal maps to improve the visual quality of the reconstructed model. SF3D also incorporates a de-lighting step to effectively remove low-frequency lighting effects, ensuring that the reconstructed mesh is easy to utilize under new lighting conditions.

Stable Fast 3D (SF3D) is a large reconstruction model based on TripoSR that can create textured UV-mapped 3D mesh assets from a single object image. The model is highly trained and can produce a 3D model in less than a second, offering a low polygon count along with UV mapping and texture processing, making it easier to use the model in downstream applications such as game engines or rendering tasks. Additionally, the model predicts material parameters (roughness, metallic) for each object, enhancing reflective behaviors during rendering. SF3D is ideal for fields that require rapid 3D modeling, such as game development and visual effects production.

CharacterGen is an efficient 3D character generation framework that can generate high-quality and consistent-looking 3D character meshes from a single input image. Using a streamlined generation pipeline and an image-conditioned multi-view diffusion model, it effectively aligns the input pose to a standard form while preserving key attributes from the input image, addressing challenges posed by diverse poses. It also employs a transformer-based universal sparse view reconstruction model and a texture back-projection strategy to generate high-quality texture maps.

GaussianCube is an innovative 3D radiance representation method that significantly advances 3D generative modeling through its structured and explicit representation. This technology achieves high-precision fitting by utilizing a novel density-constrained Gaussian fitting algorithm and optimal transport methods, rearranging Gaussian functions onto a predefined voxel grid. Compared to traditional implicit feature decoders or spatially unstructured radiance representations, GaussianCube boasts fewer parameters and higher quality, making 3D generative modeling more accessible.

ID-to-3D is an innovative method that can generate 3D head models with identity and text guidance from a random, everyday photo. It features separable expressions. This method is combinatorial, using a task-specific 2D diffusion model as an optimized prior. By extending the base model and adding lightweight expression and identity-aware architectures, a 2D prior is created for geometry and texture generation, and refined by fine-tuning only 0.2% of the available training parameters. Combining powerful facial identity embeddings and neural representations, this method not only accurately reconstructs facial features but also reconstructs accessories and hair, and provides render-ready assets suitable for games and remote presentations.