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Jan, 2023
基于文本的4D动态场景生成
Text-To-4D Dynamic Scene Generation
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Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov...
TL;DR
MAV3D使用4D神经辐射场和T2V模型从文本描述中生成3D动态场景,无需3D或4D数据,通过综合的定量和定性实验证明其有效性,并显示比已建立的内部基线更好的性能。
Abstract
We present
mav3d
(Make-A-Video3D), a method for generating three-dimensional dynamic scenes from text descriptions. Our approach uses a 4D dynamic
neural radiance field
(NeRF), which is optimized for scene appear
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