1 code implementation • 29 Oct 2023 • Alon Shoshan, Nadav Bhonker, Emanuel Ben Baruch, Ori Nizan, Igor Kviatkovsky, Joshua Engelsma, Manoj Aggarwal, Gerard Medioni
We demonstrate the merits of FPGAN-Control, both quantitatively and qualitatively, in terms of identity preservation level, degree of appearance control, and low synthetic-to-real domain gap.
no code implementations • 28 May 2023 • Ori Nizan, Ayellet Tal
Anomaly detection aims at identifying images that deviate significantly from the norm.
1 code implementation • CVPR 2020 • Ori Nizan, Ayellet Tal
(2) Since it does not need to support the cycle constraint, no irrelevant traces of the input are left on the generated image.
Multimodal Unsupervised Image-To-Image Translation Translation +1
1 code implementation • 24 Nov 2019 • Ori Nizan, Ayellet Tal
(2) Since it does not need to support the cycle constraint, no irrelevant traces of the input are left on the generated image.
Multimodal Unsupervised Image-To-Image Translation Translation +1