# D3-Human: Dynamic Disentangled Digital Human from Monocular Video

arXiv: https://arxiv.org/abs/2501.01589 · HTML: https://mlsanity.com/paper/2501.01589/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 3 Jan 2025.

## Built on by (most cited first, 6 of 6)

- [MonoCloth: Reconstruction and Animation of Cloth-Decoupled Human Avatars from Monocular Videos](https://mlsanity.com/paper/2508.04505/) (2025)
- [Neu-PiG: Neural Preconditioned Grids for Fast Dynamic Surface Reconstruction on Long Sequences](https://mlsanity.com/paper/2602.22212/) (2026)
- [One-shot Compositional 3D Head Avatars with Deformable Hair](https://mlsanity.com/paper/2604.14782/) (2026)
- [AnyAct: Towards Human Reenactment of Character Motion From Video](https://mlsanity.com/paper/2605.15497/) (2026)
- [JacobianAvatar: Temporally Consistent Semi-rigid Avatar Reconstruction from a Monocular Video](https://mlsanity.com/paper/2606.31115/) (2026)
- [Forwardrobe: Garment-Aware Gaussian Avatars from a Single Image](https://mlsanity.com/paper/2607.29106/) (2026)

## Abstract (arXiv)

We introduce D3-Human, a method for reconstructing Dynamic Disentangled Digital Human geometry from monocular videos. Past monocular video human reconstruction primarily focuses on reconstructing undecoupled clothed human bodies or only reconstructing clothing, making it difficult to apply directly in applications such as animation production. The challenge in reconstructing decoupled clothing and body lies in the occlusion caused by clothing over the body. To this end, the details of the visible area and the plausibility of the invisible area must be ensured during the reconstruction process. Our proposed method combines explicit and implicit representations to model the decoupled clothed human body, leveraging the robustness of explicit representations and the flexibility of implicit representations. Specifically, we reconstruct the visible region as SDF and propose a novel human manifold signed distance field (hmSDF) to segment the visible clothing and visible body, and then merge the visible and invisible body. Extensive experimental results demonstrate that, compared with existing reconstruction schemes, D3-Human can achieve high-quality decoupled reconstruction of the human body wearing different clothing, and can be directly applied to clothing transfer and animation.