Gesturediffuclip: Gesture diffusion model with clip latents

T Ao, Z Zhang, L Liu - ACM Transactions on Graphics (TOG), 2023 - dl.acm.org
The automatic generation of stylized co-speech gestures has recently received increasing
attention. Previous systems typically allow style control via predefined text labels or example …

Unpaired motion style transfer from video to animation

K Aberman, Y Weng, D Lischinski, D Cohen-Or… - ACM Transactions on …, 2020 - dl.acm.org
Transferring the motion style from one animation clip to another, while preserving the motion
content of the latter, has been a long-standing problem in character animation. Most existing …

A survey on deep learning for skeleton‐based human animation

L Mourot, L Hoyet, F Le Clerc… - Computer Graphics …, 2022 - Wiley Online Library
Human character animation is often critical in entertainment content production, including
video games, virtual reality or fiction films. To this end, deep neural networks drive most …

Deep learning-based motion style transfer tools, techniques and future challenges

SMA Akber, SN Kazmi, SM Mohsin, A Szczęsna - Sensors, 2023 - mdpi.com
In the fourth industrial revolution, the scale of execution for interactive applications increased
substantially. These interactive and animated applications are human-centric, and the …

Motion puzzle: Arbitrary motion style transfer by body part

DK Jang, S Park, SH Lee - ACM Transactions on Graphics (TOG), 2022 - dl.acm.org
This article presents Motion Puzzle, a novel motion style transfer network that advances the
state-of-the-art in several important respects. The Motion Puzzle is the first that can control …

[PDF][PDF] Example-driven virtual cinematography by learning camera behaviors.

H Jiang, B Wang, X Wang, M Christie, B Chen - ACM Trans. Graph., 2020 - academia.edu
Virtual cinematography ś the process of placing and moving virtual cameras through three
dimensional environments ś finds many applications in the movie and game industries …

[HTML][HTML] Conditional motion in-betweening

J Kim, T Byun, S Shin, J Won, S Choi - Pattern Recognition, 2022 - Elsevier
Motion in-betweening (MIB) is a process of generating intermediate skeletal movement
between the given start and target poses while preserving the naturalness of the motion …

Style-ERD: Responsive and coherent online motion style transfer

T Tao, X Zhan, Z Chen… - Proceedings of the …, 2022 - openaccess.thecvf.com
Motion style transfer is a common method for enriching character animation. Motion style
transfer algorithms are often designed for offline settings where motions are processed in …

Efficient neural networks for real-time motion style transfer

HJ Smith, C Cao, M Neff, Y Wang - … of the ACM on Computer Graphics …, 2019 - dl.acm.org
Style is an intrinsic, inescapable part of human motion. It complements the content of motion
to convey meaning, mood, and personality. Existing state-of-the-art motion style methods …

Dance style transfer with cross-modal transformer

W Yin, H Yin, K Baraka, D Kragic… - Proceedings of the …, 2023 - openaccess.thecvf.com
We present CycleDance, a dance style transfer system to transform an existing motion clip in
one dance style to a motion clip in another dance style while attempting to preserve motion …