CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields

We present CLIP-NeRF, a multi-modal 3D object manipulation method for neural radiance fields (NeRF). By leveraging the joint language-image embedding space of the recent Contrastive Language-Image Pre-Training (CLIP) model, we propose a unified framework that allows manip-ulating NeRF in a user-frie...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 3825 - 3834
Hlavní autori:	Wang, Can, Chai, Menglei, He, Mingming, Chen, Dongdong, Liao, Jing
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.01.2022
Predmet:	3D from single images; 3D from multi-view and sensors Codes Image color analysis Optimization methods Rendering (computer graphics) Shape Three-dimensional displays Training data
ISSN:	1063-6919
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