Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time

Author:

Wang Liao1,Zhang Jiakai1,Liu Xinhang1,Zhao Fuqiang1,Zhang Yanshun2,Zhang Yingliang2,Wu Minve3,Yu Jingyi1,Xu Lan1

Affiliation:

1. ShanghaiTech University

2. DGene

3. KU leuven

Publisher

IEEE

Reference73 articles.

1. Humannerf: Efficiently generated human radiance field from sparse inputs;zhao;ar Xiv preprint,2021

2. The unreasonable effectiveness of deep features as a perceptual metric;richard;2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition,0

3. Editable free-viewpoint video using a layered neural representation;zhang;ACM Transactions on Graphics (TOG),2021

4. pixelNeRF: Neural Radiance Fields from One or Few Images

5. Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields;keunhong;ACM Trans Graph,2021

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2. NeRF-FF: a plug-in method to mitigate defocus blur for runtime optimized neural radiance fields;The Visual Computer;2024-07

3. FPO++: efficient encoding and rendering of dynamic neural radiance fields by analyzing and enhancing Fourier PlenOctrees;The Visual Computer;2024-06-22

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