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City University of Hong Kong; The Hong Kong Polytechnic University; Snap Inc.; Netflix; Microsoft Cloud AI; Microsoft Cloud AI
pdf YouTube Project NeRF-Art arXiv Paperswithcode Abstract As a powerful representation of 3D scenes, Neural radiance fields (NeRF) enable high-quality novel view synthesis given a set of multi-view images. Editing NeRF, however, remains challenging, especially on simulating a text-guided style with both the appearance and the geometry altered simultaneously. In this paper, we present NeRF-Art, a text-guided NeRF stylization approach that manipulates the style of a pre-trained NeRF model with a single text