ashawkey/stable-dreamfusion
A PyTorch implementation of DreamFusion that generates 3D content from text or image prompts using Stable Diffusion combined with NeRF.

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This repository implements the DreamFusion text-to-3D generation approach by combining pretrained Stable Diffusion latent diffusion models with neural radiance fields. Users can provide text descriptions or 2D images and receive generated 3D meshes or scenes. The system uses the frozen diffusion model to provide gradient guidance for optimizing the 3D scene representation through a NeRF backbone.