MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation

Medin SC, Egger B, Cherian A, Wang Y, Tenenbaum JB, Liu X, Marks TK (2022)


Publication Type: Conference contribution

Publication year: 2022

Publisher: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE

City/Town: PALO ALTO

Pages Range: 1962-1971

Conference Proceedings Title: THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

DOI: 10.1609/aaai.v36i2.20091

Authors with CRIS profile

Involved external institutions

How to cite

APA:

Medin, S.C., Egger, B., Cherian, A., Wang, Y., Tenenbaum, J.B., Liu, X., & Marks, T.K. (2022). MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. In THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE (pp. 1962-1971). PALO ALTO: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE.

MLA:

Medin, Safa C., et al. "MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation." Proceedings of the 36th AAAI Conference on Artificial Intelligence / 34th Conference on Innovative Applications of Artificial Intelligence / 12th Symposium on Educational Advances in Artificial Intelligence PALO ALTO: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2022. 1962-1971.

BibTeX: Download