ashawkey/stable-dreamfusion
A PyTorch implementation for generating 3D models from text or images, leveraging NeRF and diffusion models like Stable Diffusion.
Core Features
Quick Start
git clone https://github.com/ashawkey/stable-dreamfusion.git && cd stable-dreamfusion && pip install -r requirements.txtDetailed Introduction
Stable-Dreamfusion is a PyTorch-based open-source project that implements the innovative Dreamfusion concept, enabling the creation of intricate 3D models directly from textual descriptions or input images. It ingeniously integrates powerful generative AI models such as Stable Diffusion for 2D guidance and Neural Radiance Fields (NeRF) for robust 3D scene representation, further enhanced by fast rendering capabilities via the Instant-NGP backbone. While acknowledged as a work-in-progress with ongoing quality improvements, this project stands as a significant contribution to AI-driven 3D content generation, providing a flexible and cutting-edge platform for researchers and developers to explore and advance the frontiers of generative AI in the 3D domain.