Jun Saito
Jun Saito
Senior Research Engineer, Adobe Research
Verified email at adobe.com
Cited by
Cited by
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
Phase-functioned neural networks for character control
D Holden, T Komura, J Saito
ACM Transactions on Graphics (TOG) 36 (4), 1-13, 2017
Learning motion manifolds with convolutional autoencoders
D Holden, J Saito, T Komura, T Joyce
SIGGRAPH Asia 2015 Technical Briefs, 1-4, 2015
Mode-adaptive neural networks for quadruped motion control
H Zhang, S Starke, T Komura, J Saito
ACM Transactions on Graphics (TOG) 37 (4), 1-11, 2018
“Kilauea”–Parallel Global Illumination Renderer
D Bartz, X Pueyo, E Reinhard
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
Smooth contact-aware facial blendshapes transfer
J Saito
Proceedings of the Symposium on Digital Production, 7-12, 2013
Neural network ambient occlusion
D Holden, J Saito, T Komura
SIGGRAPH ASIA 2016 Technical Briefs, 1-4, 2016
Efficient and robust skin slide simulation
J Saito, S Yuen
Proceedings of the ACM SIGGRAPH Digital Production Symposium, 1-6, 2017
Neural state machine for character-scene interactions
S Starke, H Zhang, T Komura, J Saito
ACM Transactions on Graphics (TOG) 38 (6), 1-14, 2019
Neural puppet: Generative layered cartoon characters
O Poursaeed, V Kim, E Shechtman, J Saito, S Belongie
The IEEE Winter Conference on Applications of Computer Vision, 3346-3356, 2020
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
Multi-point expansion at render time
MM Maes, S Furukawa, DP Ferreira, J Saito
ACM SIGGRAPH ASIA 2009 Posters, 1-1, 2009
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Articles 1–13