Learning Robust and Scalable Motion Matching with Lipschitz Continuity and Sparse Mixture of Experts

Author:

Kleanthous Tobias1ORCID,Martini Antonio1ORCID

Affiliation:

1. Production R&D, Tencent, United Kingdom

Publisher

ACM

Reference32 articles.

1. Jose Luis Blanco and Pranjal Kumar Rai. 2014. nanoflann: a C++ header-only fork of FLANN a library for Nearest Neighbor (NN) with KD-trees. https://github.com/jlblancoc/nanoflann. Jose Luis Blanco and Pranjal Kumar Rai. 2014. nanoflann: a C++ header-only fork of FLANN a library for Nearest Neighbor (NN) with KD-trees. https://github.com/jlblancoc/nanoflann.

2. David Bollo . 2018 . Inertialization: High-Performance Animation Transitions in Gears of War. GDC ’18 (March 2018). https://www.youtube.com/watch?v=BYyv4KTegJI David Bollo. 2018. Inertialization: High-Performance Animation Transitions in Gears of War. GDC ’18 (March 2018). https://www.youtube.com/watch?v=BYyv4KTegJI

3. Michael Büttner and Simon Clavet . 2015. Motion matching - the road to next gen animation. Nucl.ai ’2015 (July 2015 ). Michael Büttner and Simon Clavet. 2015. Motion matching - the road to next gen animation. Nucl.ai ’2015 (July 2015).

4. Simon Clavet . 2016. Motion Matching and The Road to Next-Gen Animation. GDC ’16 (March 2016 ). https://www.gdcvault.com/play/1023280/Motion-Matching-and-The-Road Simon Clavet. 2016. Motion Matching and The Road to Next-Gen Animation. GDC ’16 (March 2016). https://www.gdcvault.com/play/1023280/Motion-Matching-and-The-Road

5. ONNX Runtime developers. 2021. ONNX Runtime. https://onnxruntime.ai/. Version: x.y.z. ONNX Runtime developers. 2021. ONNX Runtime. https://onnxruntime.ai/. Version: x.y.z.

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