DeClotH: Decomposable 3D Cloth and Human Body Reconstruction from a Single Image

Computer Vision Lab1 (Seoul National University), KRAFTON2
CVPR 2025

Given a single image, DeClotH reconstructs 3D cloth and human body based on 3D template models. The reconstructed 3D clothes are decomposable from the human body, allowing cloth transfer to a new human avatar.

Abstract

We propose DeClotH, which reconstructs both 3D cloth and human body from a single image.

Unlike recent 3D human reconstruction methods that consider cloth and human body as one unified object, we aim to reconstruct 3D cloth and human body, while being able to separate them. This is a much more challenging problem because cloth and human body are heavily occluded by each other, making it difficult to infer their overall geometry and texture. To address the occlusion issue, there are two core designs in our framework. First, to alleviate the occlusion issue, we leverage 3D template models of both cloth and human body as regularizations, which provide strong priors and prevent erroneous reconstruction by the occlusion. Second, we introduce a cloth diffusion model specifically designed to provide contextual information about cloth appearance, thereby enhancing the reconstruction of 3D cloth. Qualitative and quantitative experiments demonstrate that our proposed approach is highly effective in reconstructing both 3D cloth and the human body.

Reconstruction examples

3D cloth transfer

Pose deformation

Cloth image generation (ClothDiffusion)

Method

Algorithm description of DeClotH

BibTeX

@article{nam2025decloth,
      author    = {Nam, Hyeongjin and Kim, Donghwan and Oh, Jeongtaek and Lee, Kyoung Mu},
      title     = {{DeClotH}: Decomposable 3D Cloth and Human Body Reconstruction from a Single Image},
      journal   = {CVPR},
      year      = {2025},
    }