Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes
Bandyopadhyay, Hmrishav, Koley, Subhadeep, Das, Ayan, Sain, Aneeshan, Chowdhury, Pinaki Nath, Xiang, Tao, Bhunia, Ayan Kumar, Song, Yi-Zhe
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Dec-7-2023