Daniel Holden

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 17

Top Topics

Motion Synthesis

Supervised Learning

Linear Regression

Top Venues

ACM Trans. Graph.

SIGGRAPH Asia Technical Briefs

Symposium on Computer Animation

Publications

Saeed Ghorbani, Ylva Ferstl, Daniel Holden, Nikolaus F. Troje, Marc-André Carbonneau
ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech. Comput. Graph. Forum 42 (1) (2023)
Saeed Ghorbani, Ylva Ferstl, Daniel Holden, Nikolaus F. Troje, Marc-André Carbonneau
ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech. CoRR (2022)
Levi Fussell, Kevin Bergamin, Daniel Holden
SuperTrack: motion tracking for physically simulated characters using supervised learning. ACM Trans. Graph. 40 (6) (2021)
Christian Murphy, Sudhir P. Mudur, Daniel Holden, Marc-André Carbonneau, Donya Ghafourzadeh, Andre Beauchamp
Artist guided generation of video game production quality face textures. Comput. Graph. 98 (2021)
Christian Murphy, Sudhir P. Mudur, Daniel Holden, Marc-André Carbonneau, Donya Ghafourzadeh, Andre Beauchamp
Appearance Controlled Face Texture Generation for Video Game Characters. MIG (2020)
Daniel Holden, Oussama Kanoun, Maksym Perepichka, Tiberiu Popa
Learned motion matching. ACM Trans. Graph. 39 (4) (2020)
Daniel Holden, Bang Chi Duong, Sayantan Datta, Derek Nowrouzezahrai
Subspace neural physics: fast data-driven interactive simulation. Symposium on Computer Animation (2019)
Maksym Perepichka, Daniel Holden, Sudhir P. Mudur, Tiberiu Popa
Robust Marker Trajectory Repair for MOCAP using Kinematic Reference. MIG (2019)
Kevin Bergamin, Simon Clavet, Daniel Holden, James Richard Forbes
DReCon: data-driven responsive control of physics-based characters. ACM Trans. Graph. 38 (6) (2019)
Daniel Holden
Robust solving of optical motion capture data by denoising. ACM Trans. Graph. 37 (4) (2018)
Ikhsanul Habibie, Daniel Holden, Jonathan Schwarz, Joe Yearsley, Taku Komura
A Recurrent Variational Autoencoder for Human Motion Synthesis. BMVC (2017)
Daniel Holden, Jun Saito, Taku Komura
Learning Inverse Rig Mappings by Nonlinear Regression. IEEE Trans. Vis. Comput. Graph. 23 (3) (2017)
Pengpeng Hu, Taku Komura, Daniel Holden, Yueqi Zhong
Scanning and animating characters dressed in multiple-layer garments. Vis. Comput. 33 (6-8) (2017)
Daniel Holden, Taku Komura, Jun Saito
Phase-functioned neural networks for character control. ACM Trans. Graph. 36 (4) (2017)
Daniel Holden, Ikhsanul Habibie, Ikuo Kusajima, Taku Komura
Fast Neural Style Transfer for Motion Data. IEEE Computer Graphics and Applications 37 (4) (2017)
Daniel Holden, Jun Saito, Taku Komura
Neural network ambient occlusion. SIGGRAPH Asia Technical Briefs (2016)
Daniel Holden, Jun Saito, Taku Komura
A deep learning framework for character motion synthesis and editing. ACM Trans. Graph. 35 (4) (2016)
Daniel Holden, Jun Saito, Taku Komura
Learning an inverse rig mapping for character animation. Symposium on Computer Animation (2015)
Mark Miller, Daniel Holden, Rami Ali Al-Ashqar, Christophe Dubach, Kenny Mitchell, Taku Komura
Carpet unrolling for character control on uneven terrain. MIG (2015)
Daniel Holden, Jun Saito, Taku Komura, Thomas Joyce
Learning motion manifolds with convolutional autoencoders. SIGGRAPH Asia Technical Briefs (2015)