ShapeLLM-Omni

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ShapeLLM-Omni is an Open Source AI Agents & Automation tool that provides a native multimodal LLM for 3D generation and understanding. It supports various 3D tasks including generation, editing, and captioning.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is ShapeLLM-Omni?

ShapeLLM-Omni is an open-source, native multimodal Large Language Model (LLM) specifically designed for advanced 3D generation and understanding. This tool, highlighted at NeurIPS 2025, enables users to perform complex 3D tasks such as text-to-3D generation, image-to-3D conversion, 3D captioning, and 3D editing. It offers pretrained weights for both ShapeLLM-Omni (7B) and 3DVQVAE, along with a dataset of 50k high-quality 3D edited data pairs. Researchers and developers can leverage its capabilities for various applications in 3D AI, with ongoing developments including the release of the full 3D-Alpaca dataset and training code.

Best used for

Ideal for developers and data scientists who need to generate 3D models from text or images, perform 3D captioning, and edit 3D shapes. Especially valuable for AI researchers working on advanced 3D modeling and understanding tasks.

Common actions

generate 3D models

understand 3D data

edit 3D shapes

research 3D AI

low-code/no-codeautomated workflowdeepfakecollaborationworkflowsopen-sourcegithub copilotface swapping"AI Agents"

Capabilities

Key features

Text-to-3D generation
Image-to-3D conversion
3D captioning
3D editing
Pretrained weights
Multimodal LLM

Target Audience

developerdata scientistresearcher

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of 3D tasks can ShapeLLM-Omni perform?

ShapeLLM-Omni is capable of various 3D tasks including text-to-3D generation, image-to-3D conversion, 3D captioning, and 3D editing. It provides a comprehensive solution for multimodal 3D understanding and creation.

Are there pretrained models available for ShapeLLM-Omni?

Yes, pretrained weights for both ShapeLLM-Omni (7B) and 3DVQVAE have been released. These weights allow users to immediately start experimenting with the model's capabilities for 3D generation and understanding.

Is the 3D-Alpaca dataset available for use?

The release of the entire 3D-Alpaca dataset is planned for the future. Currently, 50k high-quality 3D edited data pairs are available, with a higher-quality 3D editing dataset (3D-Alpaca-Editing-v2) also anticipated.

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