| A deep learning framework for character motion synthesis and editing D Holden, J Saito, T Komura ACM Transactions on Graphics (TOG) 35 (4), 138, 2016 | 164 | 2016 |
| Phase-functioned neural networks for character control D Holden, T Komura, J Saito ACM Transactions on Graphics (TOG) 36 (4), 42, 2017 | 138 | 2017 |
| Learning motion manifolds with convolutional autoencoders D Holden, J Saito, T Komura, T Joyce SIGGRAPH Asia 2015 Technical Briefs, 18, 2015 | 84 | 2015 |
| A Recurrent Variational Autoencoder for Human Motion Synthesis. I Habibie, D Holden, J Schwarz, J Yearsley, T Komura BMVC, 2017 | 22 | 2017 |
| Robust solving of optical motion capture data by denoising D Holden ACM Transactions on Graphics (TOG) 37 (4), 165, 2018 | 14 | 2018 |
| 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 | 12 | 2017 |
| 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 | 11 | 2015 |
| Neural network ambient occlusion. D Holden, J Saito, T Komura SIGGRAPH Asia Technical Briefs, 9, 2016 | 7 | 2016 |
| Scanning and animating characters dressed in multiple-layer garments P Hu, T Komura, D Holden, Y Zhong The Visual Computer 33 (6-8), 961-969, 2017 | 4 | 2017 |
| A Recurrent Variational Autoencoder for Human Motion Synthesis T Komura, I Habibie, D Holden, J Schwarz, J Yearsley BMVC17, 2017 | 3 | 2017 |
| DReCon: data-driven responsive control of physics-based characters K Bergamin, S Clavet, D Holden, JR Forbes ACM Transactions on Graphics (TOG) 38 (6), 206, 2019 | 1 | 2019 |
| 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 | 1 | 2016 |
| Robust Marker Trajectory Repair for MOCAP using Kinematic Reference M Perepichka, D Holden, SP Mudur, T Popa Motion, Interaction and Games, 9, 2019 | | 2019 |
| 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 | | 2019 |
| Reducing animator keyframes D Holden The University of Edinburgh, 2017 | | 2017 |
| Data-Driven Character Animation Synthesis T Komura, I Habibie, J Schwarz, D Holden Handbook of Human Motion, 1-29, 2017 | | 2017 |
| Carpet unrolling for character control on uneven terrain M Miller, D Holden, R Al-Ashqar, C Dubach, K Mitchell, T Komura Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games, 193-198, 2015 | | 2015 |
