MoDi: Unconditional Motion Synthesis from Diverse Data

Sigal Raab, Inbal Leibovitch, Peizhuo Li, Kfir Aberman, Olga Sorkine-Hornung, Daniel Cohen-Or. MoDi: Unconditional Motion Synthesis from Diverse Data. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023. pages 13873-13883, IEEE, 2023. [doi]

@inproceedings{RaabLLASC23,
  title = {MoDi: Unconditional Motion Synthesis from Diverse Data},
  author = {Sigal Raab and Inbal Leibovitch and Peizhuo Li and Kfir Aberman and Olga Sorkine-Hornung and Daniel Cohen-Or},
  year = {2023},
  doi = {10.1109/CVPR52729.2023.01333},
  url = {https://doi.org/10.1109/CVPR52729.2023.01333},
  researchr = {https://researchr.org/publication/RaabLLASC23},
  cites = {0},
  citedby = {0},
  pages = {13873-13883},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-0129-8},
}