Carpet unrolling for character control on uneven terrain. - Mark Miller 002; Daniel Holden; Rami Ali Al-Ashqar; Christophe Dubach; Kenny Mitchell; Taku Komura (MIG, 2015)

Learning an inverse rig mapping for character animation. - Daniel Holden; Jun Saito; Taku Komura (Symposium on Computer Animation, 2015)

Learning motion manifolds with convolutional autoencoders. - Daniel Holden; Jun Saito; Taku Komura; Thomas Joyce (SIGGRAPH Asia Technical Briefs, 2015)

Neural network ambient occlusion. - Daniel Holden; Jun Saito; Taku Komura (SIGGRAPH Asia Technical Briefs, 2016)

A deep learning framework for character motion synthesis and editing. - Daniel Holden; Jun Saito; Taku Komura (ACM Trans. Graph., 2016)

A Recurrent Variational Autoencoder for Human Motion Synthesis. - Ikhsanul Habibie; Daniel Holden; Jonathan Schwarz; Joe Yearsley; Taku Komura (BMVC, 2017)

Fast Neural Style Transfer for Motion Data. - Daniel Holden; Ikhsanul Habibie; Ikuo Kusajima; Taku Komura (IEEE Computer Graphics and Applications, 2017)

Phase-functioned neural networks for character control. - Daniel Holden; Taku Komura; Jun Saito (ACM Trans. Graph., 2017)

Learning Inverse Rig Mappings by Nonlinear Regression. - Daniel Holden; Jun Saito; Taku Komura (IEEE Trans. Vis. Comput. Graph., 2017)

Scanning and animating characters dressed in multiple-layer garments. - Pengpeng Hu; Taku Komura; Daniel Holden; Yueqi Zhong (Vis. Comput., 2017)

Reducing animator keyframes - Daniel Holden (2017)

Robust solving of optical motion capture data by denoising. - Daniel Holden (ACM Trans. Graph., 2018)

Robust Marker Trajectory Repair for MOCAP using Kinematic Reference. - Maksym Perepichka; Daniel Holden; Sudhir P. Mudur; Tiberiu Popa (MIG, 2019)

Subspace neural physics: fast data-driven interactive simulation. - Daniel Holden; Bang Chi Duong; Sayantan Datta; Derek Nowrouzezahrai (Symposium on Computer Animation, 2019)

DReCon: data-driven responsive control of physics-based characters. - Kevin Bergamin; Simon Clavet; Daniel Holden; James Richard Forbes (ACM Trans. Graph., 2019)

Appearance Controlled Face Texture Generation for Video Game Characters. - Christian Murphy; Sudhir P. Mudur; Daniel Holden; Marc-André Carbonneau; Donya Ghafourzadeh; Andre Beauchamp (MIG, 2020)

Learned motion matching. - Daniel Holden; Oussama Kanoun; Maksym Perepichka; Tiberiu Popa (ACM Trans. Graph., 2020)

Artist guided generation of video game production quality face textures. - Christian Murphy; Sudhir P. Mudur; Daniel Holden; Marc-André Carbonneau; Donya Ghafourzadeh; Andre Beauchamp (Comput. Graph., 2021)

SuperTrack: motion tracking for physically simulated characters using supervised learning. - Levi Fussell; Kevin Bergamin; Daniel Holden (ACM Trans. Graph., 2021)

ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech. - Saeed Ghorbani; Ylva Ferstl; Daniel Holden; Nikolaus F. Troje; Marc-André Carbonneau (Comput. Graph. Forum, 2023)

Humanlike Behavior in a Third-Person Shooter with Imitation Learning. - Alexander R. Farhang; Brendan Mulcahy; Daniel Holden; Iain Matthews; Yisong Yue (CoG, 2024)

HUMOS: Human Motion Model Conditioned on Body Shape. - Shashank Tripathi; Omid Taheri; Christoph Lassner; Michael J. Black; Daniel Holden; Carsten Stoll (ECCV (16), 2024)