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V4D: Voxel for 4D Novel View Synthesis
March 26, 2024, 4:48 a.m. | Wanshui Gan, Hongbin Xu, Yi Huang, Shifeng Chen, Naoto Yokoya
cs.CV updates on arXiv.org arxiv.org
Abstract: Neural radiance fields have made a remarkable breakthrough in the novel view synthesis task at the 3D static scene. However, for the 4D circumstance (e.g., dynamic scene), the performance of the existing method is still limited by the capacity of the neural network, typically in a multilayer perceptron network (MLP). In this paper, we utilize 3D Voxel to model the 4D neural radiance field, short as V4D, where the 3D voxel has two formats. The …
abstract arxiv capacity cs.cv dynamic fields however network neural network neural radiance fields novel perceptron performance synthesis type view voxel
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