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Stylizing Sparse-View 3D Scenes with Hierarchical Neural Representation
April 9, 2024, 4:47 a.m. | Y. Wang, A. Gao, Y. Gong, Y. Zeng
cs.CV updates on arXiv.org arxiv.org
Abstract: Recently, a surge of 3D style transfer methods has been proposed that leverage the scene reconstruction power of a pre-trained neural radiance field (NeRF). To successfully stylize a scene this way, one must first reconstruct a photo-realistic radiance field from collected images of the scene. However, when only sparse input views are available, pre-trained few-shot NeRFs often suffer from high-frequency artifacts, which are generated as a by-product of high-frequency details for improving reconstruction quality. Is …
3d scenes abstract arxiv cs.cv cs.gr hierarchical however images nerf neural radiance field photo power representation style style transfer stylize transfer type view
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