OpenAI’s Shap·E Extends Generative Models for 3D Asset Generation

In the new paper Shap·E: Generating Conditional 3D Implicit Functions, an OpenAI research team proposes Shap·E, a conditional generative model that leverages implicit neural representations to produce complex and diverse 3D assets.

ai artificial intelligence deep-neural-networks diverse generative generative-model generative models implicit neural representations machine learning machine learning & data science ml openai paper research research team shap team technology