Michael Danner, Patrik Huber 0001, Muhammad Awais 0001, Matthias Rätsch, Josef Kittler. GAN-Powered Model &Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images. In Donatello Conte, Ana L. N. Fred, Oleg Gusikhin, Carlo Sansone, editors, Deep Learning Theory and Applications - 4th International Conference, DeLTA 2023, Rome, Italy, July 13-14, 2023, Proceedings. Volume 1875 of Communications in Computer and Information Science, pages 403-418, Springer, 2023. [doi]
@inproceedings{Danner00RK23,
title = {GAN-Powered Model &Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images},
author = {Michael Danner and Patrik Huber 0001 and Muhammad Awais 0001 and Matthias Rätsch and Josef Kittler},
year = {2023},
doi = {10.1007/978-3-031-39059-3_27},
url = {https://doi.org/10.1007/978-3-031-39059-3_27},
researchr = {https://researchr.org/publication/Danner00RK23},
cites = {0},
citedby = {0},
pages = {403-418},
booktitle = {Deep Learning Theory and Applications - 4th International Conference, DeLTA 2023, Rome, Italy, July 13-14, 2023, Proceedings},
editor = {Donatello Conte and Ana L. N. Fred and Oleg Gusikhin and Carlo Sansone},
volume = {1875},
series = {Communications in Computer and Information Science},
publisher = {Springer},
isbn = {978-3-031-39059-3},
}