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.
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
- Hosting
- Abstract onlyARXIV-DEFAULT
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- Abstract & full text
- arxiv.org/abs/2312.04043v2ARXIV-DEFAULT
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- Semantic Scholar