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arXiv:2310.18148cs.HC

Reality3DSketch: Rapid 3D Modeling of Objects from Single Freehand Sketches

Tianrun Chen, Chaotao Ding, Lanyun Zhu, Ying Zang, Yiyi Liao, Zejian Li, Lingyun Sun

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Abstract

The emerging trend of AR/VR places great demands on 3D content. However, most existing software requires expertise and is difficult for novice users to use. In this paper, we aim to create sketch-based modeling tools for user-friendly 3D modeling. We introduce Reality3DSketch with a novel application of an immersive 3D modeling experience, in which a user can capture the surrounding scene using a monocular RGB camera and can draw a single sketch of an object in the real-time reconstructed 3D scene. A 3D object is generated and placed in the desired location, enabled by our novel neural network with the input of a single sketch. Our neural network can predict the pose of a drawing and can turn a single sketch into a 3D model with view and structural awareness, which addresses the challenge of sparse sketch input and view ambiguity. We conducted extensive experiments synthetic and real-world datasets and achieved state-of-the-art (SOTA) results in both sketch view estimation and 3D modeling performance. According to our user study, our method of performing 3D modeling in a scene is $>$5x faster than conventional methods. Users are also more satisfied with the generated 3D model than the results of existing methods.

arXiv comments
IEEE Transactions on MultiMedia
Journal reference
DOI
Subjects
cs.HCHuman-Computer Interaction

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