# Toward Inclusive Avatar Design with Limb Differences Through Artificial Intelligence

arXiv: https://arxiv.org/abs/2607.11512 · HTML: https://mlsanity.com/paper/2607.11512/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 6 of its 13 references that are in the map.
- First posted on arXiv 13 Jul 2026.

## Builds on (most cited first, 6 of 6)

- [Expressive Body Capture: 3D Hands, Face, and Body from a Single Image](https://mlsanity.com/paper/1904.05866/) (2019)
- [Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset](https://mlsanity.com/paper/2307.00818/) (2023)
- [AJAHR: Amputated Joint Aware 3D Human Mesh Recovery](https://mlsanity.com/paper/2509.19939/) (2025)
- [What Do We See: An Investigation Into the Representation of Disability in Video Games](https://mlsanity.com/paper/2103.17100/) (2021)
- [Designing Social VR: A Collection of Design Choices Across Commercial and Research Applications](https://mlsanity.com/paper/2201.02253/) (2022)
- [Inclusive Avatar Guidelines for People with Disabilities: Supporting Disability Representation in Social Virtual Reality](https://mlsanity.com/paper/2502.09811/) (2025)

## Abstract (arXiv)

As extended reality becomes more popular for social interaction and entertainment, 3D avatars must represent the full diversity of body types. Most 3D avatar systems only support normative bodies and do not accurately depict people with limb differences, amputations, or other morphological variations. This paper reviews emerging technical approaches for inclusive 3D avatar customization for this group and current guidelines that promote respectful and accurate representation. We highlight persistent challenges, including the scarcity of diverse datasets and the limitations in animation for non-normative anatomies. This paper positions artificial intelligence as a promising path to overcoming these limitations and advancing inclusive 3D avatar generation.