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Shap-E

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Paper summary

OpenAI's conditional generative model for 3D assets producing implicit functions.

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Key points
01

Implicit function output: Generates implicit functions (NeRFs and signed distance functions) rather than fixed meshes - enabling both textured meshes and neural radiance field rendering.

02

Text and image conditioning: Supports both text-to-3D and image-to-3D generation in a unified framework.

03

Fast generation: Generates 3D assets in seconds rather than the minutes/hours required by optimization-based methods.

04

3D generative AI: A key step in the rapid evolution of 3D generation that would continue through 2024 with Splatter Image, TripoSR, and others.

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