论文标题
细粒度的VR草图：数据集和见解
Fine-Grained VR Sketching: Dataset and Insights
论文作者
论文摘要
我们介绍了1,497个3D VR草图和具有较大形状多样性的椅子类别的3D形状对的第一个细粒数据集。我们的数据集支持素描社区的最新趋势，以细化数据分析，并将其扩展到主动开发的3D域。我们争辩说最方便的草图场景，其中草图由稀疏的线条组成，并且不需要任何草图技能，事先培训或耗时的准确绘图。然后，我们首次将细粒度3D VR草图的场景研究到3D形状检索，作为一种新颖的VR素描应用程序和一个探索基础，可以推动通用见解以告知未来的研究。通过实验在这个新问题上精心选择的设计因素组合，我们得出重要的结论以帮助跟进工作。我们希望我们的数据集能够启用其他新颖的应用程序，尤其是那些需要细粒角的应用程序，例如细粒度的3D形状重建。该数据集可在tinyurl.com/vrsketch3dv21上找到。
We present the first fine-grained dataset of 1,497 3D VR sketch and 3D shape pairs of a chair category with large shapes diversity. Our dataset supports the recent trend in the sketch community on fine-grained data analysis, and extends it to an actively developing 3D domain. We argue for the most convenient sketching scenario where the sketch consists of sparse lines and does not require any sketching skills, prior training or time-consuming accurate drawing. We then, for the first time, study the scenario of fine-grained 3D VR sketch to 3D shape retrieval, as a novel VR sketching application and a proving ground to drive out generic insights to inform future research. By experimenting with carefully selected combinations of design factors on this new problem, we draw important conclusions to help follow-on work. We hope our dataset will enable other novel applications, especially those that require a fine-grained angle such as fine-grained 3D shape reconstruction. The dataset is available at tinyurl.com/VRSketch3DV21.
