# Text-to-3D Generation

Hunyuan 3D-2 is a tool that supports image-to-3D and text-to-3D conversion, providing a powerful solution for 3D content generation.

The text-conditioned version of TRELLIS, utilizing an XL-scale large model, is a powerful 3D generation model.

TRELLIS is a large-scale text-conditioned 3D generation model that utilizes structured 3D latent variables for scalable and versatile 3D content generation.

The TRELLIS Text XL Model is a large-scale 3D generation model capable of creating 3D content from text descriptions.

An experimental natural language to 3D model generation pipeline based on an improved pre-trained multi-view diffusion model

A large-scale text-conditioned 3D generation model based on XL architecture, capable of generating 3D content from text descriptions

TRELLIS Text XL is a large-scale text-conditioned 3D generation model that can generate corresponding 3D content based on the input text.

TRELLIS Text Large is a large-scale text-to-3D generation model that enables scalable and diverse 3D content generation based on a structured 3D latent space.

MeshGPT is a text-to-3D model based on autoencoders and Transformers, the world's first publicly available 3D model tokenizer.

Shap-E is a diffusion-based text-to-3D generation model capable of producing 3D assets renderable as textured meshes and neural radiance fields from text prompts.

LDM3D is a 3D latent diffusion model capable of generating RGB images and depth map data from text prompts.