Doodle Your 3D: from Abstract Freehand Sketches to Precise 3D Shapes

Hmrishav Bandyopadhyay, Subhadeep Koley, Ayan Das, Aneeshan Sain, Pinaki Nath Chowdhury +3 more
2/14/2026

No official code found. Best implementation: hmrishavbandy/dy3d (52 stars, MIT, last commit 2024-06-12).

Abstract

In this paper, we democratise 3D content creation, enabling precise generation of 3D shapes from abstract sketches while overcoming limitations tied to drawing skills. We introduce a novel part-level modelling and alignment framework that facilitates abstraction modelling and cross-modal correspondence. Leveraging the same part-level decoder, our approach seamlessly extends to sketch modelling by establishing correspondence between CLIPasso edgemaps and projected 3D part regions, eliminating the need for a dataset pairing human sketches and 3D shapes. Additionally, our method introduces a seamless in-position editing process as a byproduct of cross-modal part-aligned modelling. Operating in a low-dimensional implicit space, our approach significantly reduces computational demands and processing time.

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hmrishavbandy/dy3dCommunity100%
MIT

Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes [CVPR 2024]

521Shell, PythonJun 11, 20242 years agoMIT

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Cite this paper

@article{bandyopadhyay2026doodle,
  title  = {Doodle Your 3D: from Abstract Freehand Sketches to Precise 3D Shapes},
  author = {Hmrishav Bandyopadhyay and Subhadeep Koley and Ayan Das and Aneeshan Sain and Pinaki Nath Chowdhury and Tao Xiang and A. Bhunia and Yi-Zhe Song},
  year   = {2026},
  eprint = {2312.04043},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/pdf/2312.04043},
  journal = {CVPR 2023 2023}
}

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