# Evaluating the Quality of a Synthesized Motion with the Fr'echet Motion Distance

arXiv: https://arxiv.org/abs/2204.12318 · HTML: https://mlsanity.com/paper/2204.12318/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 7 references that are in the map.
- First posted on arXiv 26 Apr 2022.

## Builds on (most cited first, 2 of 2)

- [Deep Residual Learning for Image Recognition](https://mlsanity.com/paper/1512.03385/) (2015)
- [Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identity](https://mlsanity.com/paper/2009.02119/) (2020)

## Built on by (most cited first, 8 of 8)

- [Seamless Human Motion Composition with Blended Positional Encodings](https://mlsanity.com/paper/2402.15509/) (2024)
- [DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding](https://mlsanity.com/paper/2411.19527/) (2024)
- [Decouple and Track: Benchmarking and Improving Video Diffusion Transformers for Motion Transfer](https://mlsanity.com/paper/2503.17350/) (2025)
- [Fr'echet Denoised Distance: Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder](https://mlsanity.com/paper/2403.05352/) (2024)
- [ViPS: Video-informed Pose Spaces for Auto-Rigged Meshes](https://mlsanity.com/paper/2604.17623/) (2026)
- [HumanScore: Benchmarking Human Motions in Generated Videos](https://mlsanity.com/paper/2604.20157/) (2026)
- [GaitMorph: Transforming Gait by Optimally Transporting Discrete Codes](https://mlsanity.com/paper/2307.14713/) (2023)
- [Evaluation of Generative Models for Emotional 3D Animation Generation in VR](https://mlsanity.com/paper/2512.16081/) (2025)

## Abstract (arXiv)

Evaluating the Quality of a Synthesized Motion with the Fr'echet Motion Distance