Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes
December 07, 2023 Β· Declared Dead Β· π Computer Vision and Pattern Recognition
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Authors
Hmrishav Bandyopadhyay, Subhadeep Koley, Ayan Das, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song
arXiv ID
2312.04043
Category
cs.CV: Computer Vision
Cross-listed
cs.AI
Citations
24
Venue
Computer Vision and Pattern Recognition
Last Checked
4 months ago
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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