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

A novel framework generates 3D shapes from sketches using part-level alignment and implicit space representation, enabling precise 3D content creation without paired datasets.

Year
2023
Venue
CVPR 2024 1
Authors
8
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Abstract onlyARXIV-DEFAULT

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arxiv.org/abs/2312.04043v2ARXIV-DEFAULT
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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.

Authors

8