# Sketch2Cloth: Sketch-based 3D Garment Generation with Unsigned Distance Fields

## TL;DR

Sketch2Cloth is a novel system that generates 3D garment models from hand-drawn sketches using unsigned distance fields, enabling effective reconstruction and editing of non-watertight meshes.

## Contribution

It introduces a sketch-based 3D garment generation method using unsigned distance fields, addressing limitations of previous template and implicit field approaches.

## Key findings

- Accurate garment generation from sketches verified by quantitative evaluation.
- Effective mesh extraction and editing capabilities demonstrated.
- Outperforms state-of-the-art approaches in garment reconstruction and editing.

## Abstract

3D model reconstruction from a single image has achieved great progress with the recent deep generative models. However, the conventional reconstruction approaches with template mesh deformation and implicit fields have difficulty in reconstructing non-watertight 3D mesh models, such as garments. In contrast to image-based modeling, the sketch-based approach can help users generate 3D models to meet the design intentions from hand-drawn sketches. In this study, we propose Sketch2Cloth, a sketch-based 3D garment generation system using the unsigned distance fields from the user's sketch input. Sketch2Cloth first estimates the unsigned distance function of the target 3D model from the sketch input, and extracts the mesh from the estimated field with Marching Cubes. We also provide the model editing function to modify the generated mesh. We verified the proposed Sketch2Cloth with quantitative evaluations on garment generation and editing with a state-of-the-art approach.