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Code and data for paper Fine-Grained VR Sketching: Dataset and Insights.

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Fine-Grained VR Sketching: Dataset and Insights

This is the code project for Fine-Grained VR Sketching: Dataset and Insights published on 3DV 2021.

Paper Link: [Paper] [Supplemental]

SkethchyVR dataset are avaiable at Dataset webpage and Google Drive (point cloud only).

Here are some samples of the shape sketch pairs in SkethchyVR:

11

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VR Sketch interface

The dataset used in this project is collected with a VR sketching interface called SketchyVR which allow participants to sketch inmmersively using VR headsets and handles like Oculus Rift.

Sketch filtering

Demonstration on filtering the original sketches: tools/Filter original sketch.ipynb

Point cloud sampling

Once filtering the original VR sketches, point clouds for training are sampled form the filtered sketch. Script for sampling from sketches and meshes: tools/gen_pointcloud.py

Point cloud Rendering

Render image for point cloud files: tools/vis_pc_mitsuba.py

Install MITSUBA first and then replace the PATH_TO_MITSUBA2 with your path.

Models for 3D shape retrieval

Train 3D sketch based 3D shape retrieval: train_triplet_3dv.py

Train 2D sketch based 3D shape retrieval: train_triplet_view_2d.py

The val.txt in the published dataset only includes 101 chair models from ShapeNetCore. To make the validation more reliable, I added chair shapes from ModelNet10, resulting in a new list file, val_shape.txt. Therefore, val_shape.txt contains many more chair model names from ModelNet10 compared to val.txt. You can choose which one to use based on your needs. All the list files, including val_shape.txt can be found here. Additionally, the required chair shapes from ModelNet10 can be downloaded from this link.

Cite

Please cite our work if you find it useful:

@inproceedings{luo2021fine,
  title={Fine-Grained VR Sketching: Dataset and Insights.},
  author={Luo, Ling and Gryaditskaya, Yulia and Yang, Yongxin and Xiang, Tao and Song, Yi-Zhe},
  booktitle={2021 International Conference on 3D Vision (3DV)},
  pages={1003--1013},
  year={2021},
  organization={IEEE}
}

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Code and data for paper Fine-Grained VR Sketching: Dataset and Insights.

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