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Evolving Evocative 2D Views of Generated 3D Objects

Eric Chu·2021

Abstract

We present a method for jointly generating 3D models of objects and 2D renders at different viewing angles, with the process guided by ImageNet and CLIP -based models. Our results indicate that it can generate anamorphic objects, with renders that both evoke the target caption and look visually appealing.

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