Upload data

LICENSE.txt

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+MIT License
+
+Copyright (c) 2025 Saskia Rabich
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+
+
+
+<h1 align="center" id="heading">FPO++: Efficient Encoding and Rendering of Dynamic Neural Radiance Fields by Analyzing and Enhancing Fourier PlenOctrees</h1>
+
+<p align="center">
+    <p align="center">
+		<b><a href="https://cg.cs.uni-bonn.de/person/m-sc-saskia-rabich">Saskia Rabich</a></b>
+        &nbsp;·&nbsp;
+        <b><a href="https://cg.cs.uni-bonn.de/person/dr-patrick-stotko">Patrick Stotko</a></b>
+        &nbsp;·&nbsp;
+        <b><a href="https://cg.cs.uni-bonn.de/person/prof-dr-reinhard-klein">Reinhard Klein</a></b>
+    </p>
+    <p align="center">
+        University of Bonn
+    </p>
+    <h3 align="center">The Visual Computer &nbsp;·&nbsp; Presented at CGI 2024</h3>
+    <h3 align="center">
+        <a href="https://doi.org/10.1007/s00371-024-03475-3">Paper</a>
+        &nbsp; | &nbsp;
+        <a href="https://arxiv.org/abs/2310.20710">arXiv</a>
+        &nbsp; | &nbsp;
+        <a href="https://cg.cs.uni-bonn.de/publication/rabich-2024-fpo">Project Page</a>
+		&nbsp; | &nbsp;
+        <a href="https://github.com/SaskiaRabich/FPOplusplus">Code</a>
+    </h3>
+    <div align="center"></div>
+</p>
+
+<p align="left">
+    This repository contains data used in "FPO++: Efficient Encoding and Rendering of Dynamic Neural Radiance Fields by Analyzing and Enhancing Fourier PlenOctrees".
+</p>
+
+## 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).
+

blender_dynamic.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9af28788377ab067fa37a6236b89145fa2d0473b5909609899ad71aa698bd53f
+size 12807291324

synthetic_human.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c7c57104375a2cdb545ed1c36c6d91df4985238239904699ab1a031aa8ba1048
+size 2610394150