9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CV2024
The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing
Denis Bobkov, Vadim Titov, Aibek Alanov +1
The task of manipulating real image attributes through StyleGAN inversion has been extensively researched. This process involves searching latent variables from a well-trained Styl…
stat.ML2018★ 9 cited
Metropolis-Hastings view on variational inference and adversarial training
Kirill Neklyudov, Evgenii Egorov, Pavel Shvechikov +1
A significant part of MCMC methods can be considered as the Metropolis-Hastings (MH) algorithm with different proposal distributions. From this point of view, the problem of constr…