Feb. 6, 2024, 5:51 a.m. | Xingyu Miao Yang Bai Haoran Duan Fan Wan Yawen Huang Yang Long Yefeng Zheng

cs.CV updates on arXiv.org arxiv.org

Most of the existing works on arbitrary 3D NeRF style transfer required retraining on each single style condition. This work aims to achieve zero-shot controlled stylization in 3D scenes utilizing text or visual input as conditioning factors. We introduce ConRF, a novel method of zero-shot stylization. Specifically, due to the ambiguity of CLIP features, we employ a conversion process that maps the CLIP feature space to the style space of a pre-trained VGG network and then refine the CLIP multi-modal …

3d scenes cs.cv fields nerf novel retraining style style transfer text transfer visual work zero-shot

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