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StyleDyRF: Zero-shot 4D Style Transfer for Dynamic Neural Radiance Fields
March 14, 2024, 4:45 a.m. | Hongbin Xu, Weitao Chen, Feng Xiao, Baigui Sun, Wenxiong Kang
cs.CV updates on arXiv.org arxiv.org
Abstract: 4D style transfer aims at transferring arbitrary visual style to the synthesized novel views of a dynamic 4D scene with varying viewpoints and times. Existing efforts on 3D style transfer can effectively combine the visual features of style images and neural radiance fields (NeRF) but fail to handle the 4D dynamic scenes limited by the static scene assumption. Consequently, we aim to handle the novel challenging problem of 4D style transfer for the first time, …
abstract arxiv cs.cv dynamic features fields images nerf neural radiance fields novel style style transfer synthesized transfer type visual zero-shot
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