Sketch2Mesh: Reconstructing and Editing 3D Shapes From Sketches

Benoit Guillard, Edoardo Remelli, Pierre Yvernay, Pascal Fua; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 13023-13032

Abstract


Reconstructing 3D shape from 2D sketches has long been an open problem because the sketches only provide very sparse and ambiguous information. In this paper, we use an encoder/decoder architecture for the sketch to mesh translation. When integrated into a user interface that provides camera parameters for the sketches, this enables us to leverage its latent parametrization to represent and refine a 3D mesh so that its projections match the external contours outlined in the sketch. We will show that this approach is easy to deploy, robust to style changes, and effective. Furthermore, it can be used for shape refinement given only single pen strokes. We compare our approach to state-of-the-art methods on sketches - both hand-drawn and synthesized - and demonstrate that we outperform them.

Related Material


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[bibtex]
@InProceedings{Guillard_2021_ICCV, author = {Guillard, Benoit and Remelli, Edoardo and Yvernay, Pierre and Fua, Pascal}, title = {Sketch2Mesh: Reconstructing and Editing 3D Shapes From Sketches}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13023-13032} }