Best 58 3D Modeling Tools of 2025

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.

LHM (Large-scale Animatable Human Reconstruction Model) utilizes a multimodal transformer architecture for high-fidelity 3D head reconstruction, supporting the generation of animatable 3D human characters from a single image. The model can accurately preserve clothing geometry and texture, and is particularly excellent at restoring facial identity and details, making it suitable for application scenarios with high requirements for 3D reconstruction accuracy.

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.

GaussianCity is a framework focused on efficiently generating boundless 3D cities, based on 3D Gaussian rendering technology. This technology, through compact 3D scene representation and a spatially aware Gaussian attribute decoder, solves the memory and computational bottlenecks encountered by traditional methods when generating large-scale city scenes. Its main advantage is the ability to quickly generate large-scale 3D cities in a single forward pass, significantly outperforming existing technologies. This product was developed by the S-Lab team at Nanyang Technological University, with the related paper published in CVPR 2025. The code and models have been open-sourced and are suitable for researchers and developers who need to efficiently generate 3D city environments.

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.

DiffSplat is an innovative 3D generation technology that quickly creates 3D Gaussian point clouds from text prompts and single-view images. This technology leverages a large-scale pre-trained text-to-image diffusion model to efficiently generate 3D content. It addresses the limitations of traditional 3D generation methods concerning dataset size and the ineffective use of 2D pre-trained models, while maintaining 3D consistency. Key advantages of DiffSplat include efficient generation speeds (completed in 1 to 2 seconds), high-quality 3D output, and support for various input conditions. The model has broad prospects in academic research and industrial applications, particularly in scenarios requiring the rapid generation of high-quality 3D models.

Genime AI is a platform for animation creators that leverages advanced AI technology to provide users with features such as image-to-3D model conversion and tweening animation generation. Its main advantage lies in its ability to help users quickly produce high-quality animated content, thereby lowering the barriers to animation creation and enhancing productivity. This product is suitable for animators, video creators, and professionals in related fields, particularly those looking to enhance their creative abilities with AI technology. Currently, the product is in the development stage, and the specific pricing and positioning have yet to be determined.

Spell is an AI model launched by Spline that can generate complete 3D scenes from a single image. It is based on diffusion model technology and trained by combining real and synthetic data, capable of producing 3D worlds with multi-view consistency in just a few minutes. The major advantage of this technology is its ability to generate high-quality 3D scenes quickly while supporting various rendering techniques such as Gaussian drawing and neural radiance fields. The advent of Spell has brought revolutionary changes to the field of 3D design, allowing creators to generate and explore 3D scenes more efficiently. Currently, Spell is still in development, and the team plans to frequently update the model to enhance quality and consistency.

ComfyUI-Hunyuan3DWrapper is a plugin based on ComfyUI that encapsulates the Hunyuan3D-2 model for efficient 3D image generation and texture processing. By streamlining the usage process of the Hunyuan3D-2 model, this tool allows users to quickly create high-quality 3D models and textures within the ComfyUI environment. It supports custom configurations and extensions, making it ideal for users engaged in efficient 3D content creation.

Hunyuan3D 2.0 is an advanced large-scale 3D synthesis system developed by Tencent, focusing on generating high-resolution textured 3D assets. The system comprises two core components: the large-scale shape generation model Hunyuan3D-DiT and the large-scale texture synthesis model Hunyuan3D-Paint. By decoupling the challenges of shape and texture generation, it provides users with a flexible platform for 3D asset creation. The system surpasses existing open-source and closed-source models in geometric details, conditional alignment, texture quality, and more, showcasing high practicality and innovation. Currently, the inference code and pre-trained models of this model are open-sourced, allowing users to quickly experience it through the official website or Hugging Face space.

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.

Avataar.ai is an innovative 3D content creation platform that leverages advanced AI technology to help brands quickly develop high-quality 3D models, videos, and interactive experiences. Its main advantage lies in simplifying the complex process of 3D content production, enabling brands to create immersive visual content at a lower cost and in a shorter time frame. The platform is suitable for businesses of all sizes and can significantly improve online product visibility and user engagement.

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.

Instant 3D AI is an online platform that utilizes artificial intelligence technology to quickly convert 2D images into 3D models. Its significance lies in greatly simplifying the process of creating 3D models, enabling even non-professionals to easily produce high-quality 3D models. Background information indicates that Instant 3D AI has gained the trust of over 1,400 creators and received an impressive rating of 4.8 out of 5. The main advantages of the product include rapid 3D model generation, a user-friendly interface, and high user satisfaction. In terms of pricing, Instant 3D AI offers a free trial, allowing users to experience the product before deciding to pay.

ThreeJS.ai is a platform focused on using artificial intelligence technology to generate ThreeJS project assets. By simplifying the creation process for 3D models and animations, it enables developers and designers to build complex 3D scenes and visual effects more quickly and efficiently. The platform's significance lies in lowering the barriers for 3D content creation, allowing non-professionals to easily get started while saving professionals a considerable amount of time. According to product background information, ThreeJS.ai is provided by Graam Inc. and offers 500 free generation opportunities.

MegaSaM is a system that allows for accurate, rapid, and robust estimation of camera parameters and depth maps from monocular videos of dynamic scenes. This system overcomes the limitations of traditional structure-from-motion and monocular SLAM techniques, which typically assume that the input videos primarily contain static scenes with significant parallax. MegaSaM can be extended to videos of complex dynamic scenes in the real world, including those with unknown fields of view and unconstrained camera paths, through carefully modified depth-visual SLAM frameworks. Extensive experiments on both synthetic and real videos demonstrate that MegaSaM is more accurate and robust in camera pose and depth estimation while being faster or comparable in runtime to previous and concurrent work.

Prompt Depth Anything is a method for high-resolution and high-precision depth estimation. This method unlocks the potential of depth foundational models through prompting techniques, using iPhone LiDAR as a cue to guide the model in generating precise depth measurements of up to 4K resolution. Additionally, it introduces a scalable data pipeline for training and has released a more detailed ScanNet++ dataset with depth annotations. The main advantages of this technology include high-resolution and high-precision depth estimation, along with benefits for downstream applications such as 3D reconstruction and generalized robotic grasping.

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.

GenEx is an AI model capable of creating a fully explorable 360° 3D world from a single image. Users can interactively explore this generated world. GenEx advances embodied AI in imaginative spaces and has the potential to extend these capabilities into real-world exploration.

BLENDERGPT is an advanced AI program that can create 3D models in approximately 20 seconds based on text or image prompts. It allows users to synthesize fully textured meshes, which can be directly imported into Blender or downloaded for use in any compatible software. The significance of this technology lies in its ability to greatly enhance the efficiency and convenience of 3D model creation, especially for designers and developers, saving substantial time and resources. BLENDERGPT offers a free trial, allowing users to experience its powerful capabilities.

Controllable Human-Object Interaction Synthesis (CHOIS) is an advanced technology that simultaneously generates object and human movements based on linguistic descriptions, initial object and human states, and sparse object trajectory points. This technology is crucial for simulating realistic human behavior, particularly in scenarios that require precise hand-object contact and appropriate ground-supported interactions. CHOIS improves the matching between generated object movements and input object trajectory points by introducing object geometric loss as supplementary supervisory information and designing guiding terms during the training and sampling process of the diffusion model to enforce contact constraints, thereby ensuring the authenticity of the interactions.

TRELLIS is a native 3D generation model based on a unified structured latent representation and a correction transformer, capable of producing diverse and high-quality 3D assets. The model captures structural (geometric) and texture (appearance) information comprehensively by integrating sparse 3D meshes with dense multi-view visual features extracted from powerful visual foundation models, while maintaining flexibility during the decoding process. TRELLIS can handle up to 2 billion parameters and has been trained on a large dataset of 3D assets containing 500,000 diverse objects. It generates high-quality results conditioned on text or images, significantly surpassing existing methods, including recent approaches of similar scale. TRELLIS also demonstrates flexible output format options and local 3D editing capabilities, which were not provided by previous models. Source code, models, and data will be made available.

Genie 2, developed by Google DeepMind, is a large-scale foundational world model capable of generating endless, operable, and playable 3D environments based on a single prompt image, designed for training and evaluating embodied agents. Genie 2 represents a significant advancement in the field of deep learning and artificial intelligence, showcasing various emergent capabilities in large-scale generative models, such as object interaction, complex character animation, and physical simulation, by simulating virtual worlds and their consequences. The research behind Genie 2 fosters new creative workflows for prototyping interactive experiences and opens up new possibilities for the development of future general AI systems and agents.

PSHuman is an innovative framework that utilizes multi-view diffusion models and explicit reconstruction techniques to reconstruct realistic 3D human models from a single image. Its significance lies in its ability to handle complex self-occlusion issues and avoid geometric distortions in the generated facial details. PSHuman achieves richly detailed new perspective generation while maintaining identity features by jointly modeling global body shapes and local facial characteristics with cross-scale diffusion models. Additionally, PSHuman enhances cross-view body shape consistency under different human postures using physical priors provided by parameterized models like SMPL-X. Key advantages of PSHuman include rich geometric details, high texture fidelity, and strong generalization capability.

This AI system can create a 3D world from a single image, allowing users to immerse themselves in any picture for 3D exploration. This technology improves control and consistency, transforming the way we create films, games, simulators, and other digital expressions. It represents a significant step in spatial intelligence, enabling users to experience various camera effects and 3D effects while exploring classic artworks in real-time within their browser.

CAT4D is a cutting-edge technology that generates 4D scenes from monocular videos using multi-view video diffusion models. It transforms input monocular videos into multi-perspective video and reconstructs dynamic 3D scenes. The significance of this technology lies in its ability to extract and reconstruct complete spatial and temporal information from single-view video footage, providing robust technical support for virtual reality, augmented reality, and 3D modeling. Background information indicates that CAT4D is a collaborative project developed by researchers from Google DeepMind, Columbia University, and UC San Diego, representing a successful case of turning advanced research outcomes into practical applications.

DimensionX is a 3D and 4D scene generation technology based on a video diffusion model, capable of creating controlled perspectives and dynamic variations from a single image. The main advantages of this technology include high flexibility and realism, enabling the generation of scenes in various styles and themes based on user-provided prompts. Background information indicates that it was developed by a group of researchers aiming to advance image generation technology. Currently, the technology is available for free to the research and development community.

GenXD is a framework focused on 3D and 4D scene generation, utilizing common camera and object motion found in everyday life to jointly study general 3D and 4D generation. Due to a lack of large-scale 4D data in the community, GenXD initially proposes a data planning process to extract camera poses and object motion intensity from videos. Based on this process, GenXD introduces a large-scale real-world 4D scene dataset: CamVid-30K. By leveraging all 3D and 4D data, the GenXD framework can generate any 3D or 4D scene. It offers a multi-view-time module that separates camera and object motion, learning seamlessly from 3D and 4D data. Furthermore, GenXD employs masked latent conditions to support various conditional views. GenXD can generate videos that follow camera trajectories and consistent 3D views that can be enhanced to 3D representations. It has undergone extensive evaluation across various real-world and synthetic datasets, demonstrating its effectiveness and versatility in 3D and 4D generation compared to previous methods.