# Motion Capture Dataset for Practical Use of AI-based Motion Editing and Stylization

arXiv: https://arxiv.org/abs/2306.08861 · HTML: https://mlsanity.com/paper/2306.08861/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- Builds on 8 of its 40 references that are in the map.
- First posted on arXiv 15 Jun 2023.

## Builds on (most cited first, 8 of 8)

- [Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization](https://mlsanity.com/paper/1703.06868/) (2017)
- [Deep High-Resolution Representation Learning for Visual Recognition](https://mlsanity.com/paper/1908.07919/) (2019)
- [OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields](https://mlsanity.com/paper/1812.08008/) (2018)
- [Robust Motion In-betweening](https://mlsanity.com/paper/2102.04942/) (2021)
- [Unpaired Motion Style Transfer from Video to Animation](https://mlsanity.com/paper/2005.05751/) (2020)
- [Real-Time Style Modelling of Human Locomotion via Feature-Wise Transformations and Local Motion Phases](https://mlsanity.com/paper/2201.04439/) (2022)
- [Motion Puzzle: Arbitrary Motion Style Transfer by Body Part](https://mlsanity.com/paper/2202.05274/) (2022)
- [Real-Time Sign Language Detection using Human Pose Estimation](https://mlsanity.com/paper/2008.04637/) (2020)

## Built on by (most cited first, 9 of 9)

- [MotionFix: Text-Driven 3D Human Motion Editing](https://mlsanity.com/paper/2408.00712/) (2024)
- [HY-Motion 1.0: Scaling Flow Matching Models for Text-To-Motion Generation](https://mlsanity.com/paper/2512.23464/) (2025)
- [HUMOTO: A 4D Dataset of Mocap Human Object Interactions](https://mlsanity.com/paper/2504.10414/) (2025)
- [PersonaBooth: Personalized Text-to-Motion Generation](https://mlsanity.com/paper/2503.07390/) (2025)
- [Diffusion-based Human Motion Style Transfer with Semantic Guidance](https://mlsanity.com/paper/2405.06646/) (2024)
- [PhysHMR: Learning Humanoid Control Policies from Vision for Physically Plausible Human Motion Reconstruction](https://mlsanity.com/paper/2510.02566/) (2025)
- [PersonaAnimator: Personalized Motion Transfer from Unconstrained Videos](https://mlsanity.com/paper/2508.19895/) (2025)
- [MVRS: The Multimodal Virtual Reality Stimuli-based Emotion Recognition Dataset](https://mlsanity.com/paper/2509.05330/) (2025)
- [Motion Style Slider: Endpoint-Supervised Continuous Style Control for Human Motion Diffusion](https://mlsanity.com/paper/2609.30795/) (2026)

## Abstract (arXiv)

In this work, we proposed a new style-diverse dataset for the domain of motion style transfer. The motion dataset uses an industrial-standard human bone structure and thus is industry-ready to be plugged into 3D characters for many projects. We claim the challenges in motion style transfer and encourage future work in this domain by releasing the proposed motion dataset both to the public and the market. We conduct a comprehensive study on motion style transfer in the experiment using the state-of-the-art method, and the results show the proposed dataset's validity for the motion style transfer task.