Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images-Reference-Cited by-同舟云学术

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Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images

Published:2020 Issue: Volume: Page:512-530
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2020
language:
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Author:

Zhu Heming,Cao Yu,Jin Hang,Chen Weikai,Du Dong,Wang Zhangye,Cui Shuguang,Han Xiaoguang

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-58452-8_30

Reference70 articles.

1. Agisoft: Mentashape (2019). https://www.agisoft.com/

2. Alldieck, T., Magnor, M., Bhatnagar, B.L., Theobalt, C., Pons-Moll, G.: Learning to reconstruct people in clothing from a single RGB camera. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)

3. Alldieck, T., Magnor, M., Xu, W., Theobalt, C., Pons-Moll, G.: Detailed human avatars from monocular video. In: International Conference on 3D Vision (3DV) (2018)

4. Alldieck, T., Magnor, M., Xu, W., Theobalt, C., Pons-Moll, G.: Video based reconstruction of 3d people models. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)

5. Alldieck, T., Pons-Moll, G., Theobalt, C., Magnor, M.: Tex2shape: Detailed full human body geometry from a single image. In: IEEE International Conference on Computer Vision (ICCV). IEEE (2019)

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2. SGM: A Dataset for 3D Garment Reconstruction from Single Hand-Drawn Sketch;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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4. CloSe: A 3D Clothing Segmentation Dataset and Model;2024 International Conference on 3D Vision (3DV);2024-03-18

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