mlsanityData to 7 Oct 2026

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

arXiv 2303.00167 ↗First posted 1 Mar 2023cs.GR cs.CVcited by 5

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Abstract (arXiv)

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.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 29 of its 36 references that are in the map. First posted on arXiv 1 Mar 2023.

Builds on

29 of 36 references.

References · 29

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17 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 1; 2026: 1.

5 papers.

  1. 2024GarmentDreamer: 3DGS Guided Garment Synthesis with Diverse Geometry and Texture Detailscited by 19
  2. 2024Sketch2NeRF: Multi-view Sketch-guided Text-to-3D Generationcited by 6
  3. 2024TexControl: Sketch-Based Two-Stage Fashion Image Generation Using Diffusion Modelcited by 1
  4. 2025From Air to Wear: Personalized 3D Digital Fashion with AR/VR Immersive 3D Sketchingcited by 1
  5. 2026Stitched Embeddings: A Unified Latent Space for 3D Garments and 2D Patternscited by 0