SHARP: Shape-Aware Reconstruction of People in Loose Clothing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s11263-022-01736-z.pdf
Reference63 articles.
1. Alldieck, T., Magnor, M., & Bhatnagar, B. L., et al. (2019a). Learning to reconstruct people in clothing from a single RGB camera. In Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR). https://doi.org/10.1109/CVPR.2019.00127.
2. Alldieck, T., Pons-Moll, G., & Theobalt, C., et al. (2019b). Tex2Shape: detailed full human body geometry from a single image. In Proceedings of the IEEE international conference on computer vision (ICCV). https://doi.org/10.1109/ICCV.2019.00238.
3. Anguelov, D., Srinivasan, P., Koller, D., et al. (2005). SCAPE: Shape completion and animation of people. ACM Transactions on Graphics (TOG), 24(3), 408–416. https://doi.org/10.1145/1186822.1073207.
4. Azevedo, T. C., Tavares, J. M.R., & Vaz, M. A. (2009). 3D object reconstruction from uncalibrated images using an off-the-shelf camera (pp. 117–136). https://doi.org/10.1007/978-1-4020-9086-8_7.
5. Baak, A., Müller, M., & Bharaj, G., et al. (2011). A data-driven approach for real-time full body pose reconstruction from a depth camera. In Proceedings of the IEEE international conference on computer vision (ICCV). https://doi.org/10.1109/ICCV.2011.6126356.
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