Ubisoft La Forge Animation Dataset ("LAFAN1")

Ubisoft La Forge Animation dataset and accompanying code for the SIGGRAPH 2020 paper Robust Motion In-betweening.

Shot in May 2017.

This dataset can be used under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License (see license.txt).

If you use this dataset or transition benchmarking code, please consider citing the paper:

@article{harvey2020robust,
author    = {Félix G. Harvey and Mike Yurick and Derek Nowrouzezahrai and Christopher Pal},
title     = {Robust Motion In-Betweening},
booktitle = {ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH)},
publisher = {ACM},
volume    = {39},
number    = {4},
year      = {2020}
}

You may also want to consider the following papers, as they also use this dataset (or parts of it):

• Learned Motion Matching (Holden et al., 2020)

• Subspace Neural Physics: Fast Data-Driven Interactive Simulation (Holden et al., 2019)

• DReCon: Data-Driven Responsive Control of Physics-Based Characters (Bergamin et al., 2019)

• Robust Solving of Optical Motion Capture Data by Denoising (Holden, 2018)

• Recurrent Transition Networks for Character Locomotion (Harvey et al., 2018)

Data

The animation data is contained in the lafan1.zip file.
All the animation sequences are in the BVH file format.
There are 5 subjects in the dataset, 77 sequences, and 496,672 motion frames at 30fps (~4.6 hours).
Every BVH file is named with the following convention: [theme][take number]_[subject ID].bvh.
Any sequences sharing the same theme and take_number were recorded at the same time in the studio.
Themes are high level indicators of the actions in the sequences.

The following themes are present in the LaFAN1 dataset:

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