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pro vyhledávání: '"YILDIRIM, Ahmet"'
Autor:
Ekin, Yigit, Yildirim, Ahmet Burak, Caglar, Erdem Eren, Erdem, Aykut, Erdem, Erkut, Dundar, Aysegul
Advanced image editing techniques, particularly inpainting, are essential for seamlessly removing unwanted elements while preserving visual integrity. Traditional GAN-based methods have achieved notable success, but recent advancements in diffusion m
Externí odkaz:
http://arxiv.org/abs/2406.09368
StyleGAN models show editing capabilities via their semantically interpretable latent organizations which require successful GAN inversion methods to edit real images. Many works have been proposed for inverting images into StyleGAN's latent space. H
Externí odkaz:
http://arxiv.org/abs/2312.11422
Recent inversion methods have shown that real images can be inverted into StyleGAN's latent space and numerous edits can be achieved on those images thanks to the semantically rich feature representations of well-trained GAN models. However, extensiv
Externí odkaz:
http://arxiv.org/abs/2307.15033
Image inpainting task refers to erasing unwanted pixels from images and filling them in a semantically consistent and realistic way. Traditionally, the pixels that are wished to be erased are defined with binary masks. From the application point of v
Externí odkaz:
http://arxiv.org/abs/2304.03246
We use non-equilibrium atomistic molecular dynamics simulations of unentangled melts of linear and star polymers ($\mathrm{C_{25}H_{52}}$) to study the steady-state viscoelastic response under confinement within nanoscale hematite $\left ( \mathrm{\a
Externí odkaz:
http://arxiv.org/abs/2303.09178
Publikováno v:
In Journal of Genetic Engineering and Biotechnology June 2024 22(2)
Autor:
Salduz, Ahmet, Bayram, Serkan, Müçteba Yıldırım, Ahmet, Civan, Melih, Alpan, Buğra, Valiyev, Natig, Eralp, Levent, Özger, Harzem
Publikováno v:
In The Knee December 2023 45:178-186
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