Awesome
OptiMo
OptiMo is an "optimization-guided motion editing" system for authoring 3D character animations. OptiMo allows animators to effectively utilize the power of numerical optimization while keeping appropriate control.
Project Web Page
http://koyama.xyz/project/optimo/
Dependencies
Prerequisites
- Eigen 3 http://eigen.tuxfamily.org/ (
brew install eigen
) - Qt (5.6 or higher) http://doc.qt.io/qt-5/ (
brew install qt@5
)
Included via gitsubmodule
- NLopt https://nlopt.readthedocs.io/
- json11 https://github.com/dropbox/json11
- tinycolormap https://github.com/yuki-koyama/tinycolormap
- nlopt-util https://github.com/yuki-koyama/nlopt-util
- three-dim-util https://github.com/yuki-koyama/three-dim-util
- parallel-util https://github.com/yuki-koyama/parallel-util
Included directly
- RBDL https://bitbucket.org/rbdl/rbdl/ (their source codes for
v2.5.0
are included in this repository under the zlib license)
Runtime
- OpenGL 2.1 (or compatible with 2.1)
Compilation Instruction
CMake https://cmake.org/ is used for managing source codes. OptiMo can be built by, for example,
git clone https://github.com/yuki-koyama/optimo.git --recursive
cd optimo
mkdir build
cd build
cmake ../
make
Known Issues (Need Help!)
OptiMo is currently tested on macOS only. It is possible that OptiMo could not be built or run with other platforms such as Windows or Linux. Pull requests are welcome.
Publication
Yuki Koyama and Masataka Goto. 2018. OptiMo: Optimization-Guided Motion Editing for Keyframe Character Animation. In Proceedings of 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), pp.161:1--161:12. DOI: https://doi.org/10.1145/3173574.3173735
Licensing
OptiMo is dual-licensed; You may use OptiMo under either LGPLv3 or our commercial (proprietary) license. See the LICENSE
files for details.
Contributing
Pull requests are highly welcome. Please be aware that any contribution to this repository will be licensed under the above license condition.
Authors
- Yuki Koyama
- Masataka Goto
Copyright
Copyright (c) 2018 National Institute of Advanced Industrial Science and Technology (AIST) - koyama.y@aist.go.jp