THOR-Net: End-to-end Graformer-based Realistic Two Hands and Object Reconstruction with Self-supervision

Ahmed Tawfik Aboukhadra, Jameel Malik, Ahmed Elhayek, Nadia Robertini, Didier Stricker. THOR-Net: End-to-end Graformer-based Realistic Two Hands and Object Reconstruction with Self-supervision. In IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, Waikoloa, HI, USA, January 2-7, 2023. pages 1001-1010, IEEE, 2023. [doi]

@inproceedings{AboukhadraMERS23,
  title = {THOR-Net: End-to-end Graformer-based Realistic Two Hands and Object Reconstruction with Self-supervision},
  author = {Ahmed Tawfik Aboukhadra and Jameel Malik and Ahmed Elhayek and Nadia Robertini and Didier Stricker},
  year = {2023},
  doi = {10.1109/WACV56688.2023.00106},
  url = {https://doi.org/10.1109/WACV56688.2023.00106},
  researchr = {https://researchr.org/publication/AboukhadraMERS23},
  cites = {0},
  citedby = {0},
  pages = {1001-1010},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, Waikoloa, HI, USA, January 2-7, 2023},
  publisher = {IEEE},
  isbn = {978-1-6654-9346-8},
}