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Daniel Holden
Daniel Holden
Epic Games
Verified email at theorangeduck.com - Homepage
Title
Cited by
Cited by
Year
A deep learning framework for character motion synthesis and editing
D Holden, J Saito, T Komura
ACM Transactions on Graphics (TOG) 35 (4), 1-11, 2016
5312016
Phase-functioned neural networks for character control
D Holden, T Komura, J Saito
ACM Transactions on Graphics (TOG) 36 (4), 1-13, 2017
4602017
Learning motion manifolds with convolutional autoencoders
D Holden, J Saito, T Komura, T Joyce
SIGGRAPH Asia 2015 technical briefs, 1-4, 2015
2662015
DReCon: data-driven responsive control of physics-based characters
K Bergamin, S Clavet, D Holden, JR Forbes
ACM Transactions On Graphics (TOG) 38 (6), 1-11, 2019
1332019
A recurrent variational autoencoder for human motion synthesis
I Habibie, D Holden, J Schwarz, J Yearsley, T Komura
Proceedings of the British Machine Vision Conference (BMVC), 2017
1202017
Robust solving of optical motion capture data by denoising
D Holden
ACM Transactions on Graphics (TOG) 37 (4), 1-12, 2018
802018
Learned motion matching
D Holden, O Kanoun, M Perepichka, T Popa
ACM Transactions on Graphics (TOG) 39 (4), 53: 1-53: 12, 2020
682020
Fast neural style transfer for motion data
D Holden, I Habibie, I Kusajima, T Komura
IEEE computer graphics and applications 37 (4), 42-49, 2017
642017
Subspace neural physics: Fast data-driven interactive simulation
D Holden, BC Duong, S Datta, D Nowrouzezahrai
Proceedings of the 18th annual ACM SIGGRAPH/Eurographics Symposium on …, 2019
392019
Learning an inverse rig mapping for character animation
D Holden, J Saito, T Komura
Proceedings of the 14th ACM SIGGRAPH/Eurographics Symposium on Computer …, 2015
282015
Bang Chi Duong, Sayantan Datta, and Derek Nowrouzezahrai. 2019. Subspace neural physics: fast data-driven interactive simulation
D Holden
Proceedings of the 18th annual ACM SIGGRAPH/Eurographics Symposium on …, 2019
272019
Supertrack: Motion tracking for physically simulated characters using supervised learning
L Fussell, K Bergamin, D Holden
ACM Transactions on Graphics (TOG) 40 (6), 1-13, 2021
162021
Neural network ambient occlusion
D Holden, J Saito, T Komura
SIGGRAPH ASIA 2016 Technical Briefs, 1-4, 2016
162016
Learning inverse rig mappings by nonlinear regression
D Holden, J Saito, T Komura
IEEE transactions on visualization and computer graphics 23 (3), 1167-1178, 2016
142016
Robust marker trajectory repair for mocap using kinematic reference
M Perepichka, D Holden, SP Mudur, T Popa
Proceedings of the 12th ACM SIGGRAPH Conference on Motion, Interaction and …, 2019
112019
Scanning and animating characters dressed in multiple-layer garments
P Hu, T Komura, D Holden, Y Zhong
The Visual Computer 33, 961-969, 2017
72017
Character control with neural networks and machine learning
D Holden
Game Developers Conference (GDC). San Francisco, California. https://www …, 2018
42018
Data-driven character animation synthesis
T Komura, I Habibie, J Schwarz, D Holden
Handbook of Human Motion, 2018
42018
Zeroeggs: Zero-shot example-based gesture generation from speech
S Ghorbani, Y Ferstl, D Holden, NF Troje, MA Carbonneau
arXiv preprint arXiv:2209.07556, 2022
32022
Artist guided generation of video game production quality face textures
C Murphy, S Mudur, D Holden, MA Carbonneau, D Ghafourzadeh, ...
Computers & Graphics 98, 268-279, 2021
32021
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