Evolving Evocative 2D Views of Generated 3D Objects

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Nov 08, 2021
Eric Chu
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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.

* NeurIPS 2021 Workshop on Machine Learning for Creativity and Design  
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