Evolving Evocative 2D Views of Generated 3D Objects
Computer Vision and Pattern Recognition
2021-11-10 v1
Authors:
Eric Chu
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.
Keywords
Cite
@article{arxiv.2111.04839,
title = {Evolving Evocative 2D Views of Generated 3D Objects},
author = {Eric Chu},
journal= {arXiv preprint arXiv:2111.04839},
year = {2021}
}
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