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DreamFusion

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About

DreamFusion leverages breakthroughs in text-to-image synthesis through 2D diffusion models to create 3D objects from text descriptions. It optimizes 3D models (Neural Radiance Fields) using a pretrained 2D model without needing 3D training data, showcasing the effectiveness of 2D diffusion as a prior. Users can generate and view 3D models from any angle with detailed normals and depth, allowing for relighting and integration into various 3D environments. It supports export to meshes for use in 3D software. Ideal for creating diverse and complex 3D scenes from simple text prompts, DreamFusion demonstrates advanced AI techniques in synthesizing 3D models from textual input.

Platform

Keywords

3d modeling diffusion models ai synthesis neural radiance field text-to-3d

Task

Features

• text-to-3d synthesis

• optimizes 3d models using deep learning

• supports export to meshes

• generates relightable, high-fidelity 3d objects

• uses pretrained 2d diffusion models

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