Saskia Rabich · Patrick Stotko · Reinhard Klein
University of Bonn
This repository contains data used in "FPO++: Efficient Encoding and Rendering of Dynamic Neural Radiance Fields by Analyzing and Enhancing Fourier PlenOctrees".
## Usage You can use this data by downloading and extracting the .zip-files into a `data` subdirectory in the root directory of the FPO++ source code. Please refer to the GitHub repository for information on how to run the code. ## Citation If you find this data useful for your research, please cite FPO++ as follows: ``` @article{rabich2024FPOplusplus:, title = {FPO++: efficient encoding and rendering of dynamic neural radiance fields by analyzing and enhancing {Fourier} {PlenOctrees}}, author = {Saskia Rabich and Patrick Stotko and Reinhard Klein}, journal = {The Visual Computer}, year = {2024}, issn = {1432-2315}, doi = {10.1007/s00371-024-03475-3}, url = {https://doi.org/10.1007/s00371-024-03475-3}, } ``` ## License This data is provided under the MIT license. ## Acknowledgements This work has been funded by the Federal Ministry of Education and Research under grant no. 01IS22094E WEST-AI, by the Federal Ministry of Education and Research of Germany and the state of North-Rhine Westphalia as part of the Lamarr-Institute for Machine Learning and Artificial Intelligence, and additionally by the DFG project KL 1142/11-2 (DFG Research Unit FOR 2535 Anticipating Human Behavior).