3 citations · 5 across the 5 of their papers we have counts for
5 papers
Bayesian Conditioned Diffusion Models for Inverse Problems
Alper Güngör, Bahri Batuhan Bilecen, Tolga Çukur
Diffusion models have recently been shown to excel in many image reconstruction tasks that involve inverse problems based on a forward measurement operator. A common framework uses…
Towards Clip-Free Quantized Super-Resolution Networks: How to Tame Representative Images
Alperen Kalay, Bahri Batuhan Bilecen, Mustafa Ayazoglu
Super-resolution (SR) networks have been investigated for a while, with their mobile and lightweight versions gaining noticeable popularity recently. Quantization, the procedure of…
Diverse Inpainting and Editing with GAN Inversion
Ahmet Burak Yildirim, Hamza Pehlivan, Bahri Batuhan Bilecen +1
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…
Bicubic++: Slim, Slimmer, Slimmest -- Designing an Industry-Grade Super-Resolution Network
Bahri Batuhan Bilecen, Mustafa Ayazoglu
We propose a real-time and lightweight single-image super-resolution (SR) network named Bicubic++. Despite using spatial dimensions of the input image across the whole network, Bic…
XCAT -- Lightweight Quantized Single Image Super-Resolution using Heterogeneous Group Convolutions and Cross Concatenation
Mustafa Ayazoglu, Bahri Batuhan Bilecen
We propose a lightweight, single image super-resolution network for mobile devices, named XCAT. XCAT introduces Heterogeneous Group Convolution Blocks with Cross Concatenations (HX…