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20212025
most citedImage-to-Image Translation with Disentangled Latent Vectors for Face Editing

33 citations · 43 across the 4 of their papers we have counts for

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5 papers

cs.CV2025

Matrix-free Second-order Optimization of Gaussian Splats with Residual Sampling

Hamza Pehlivan, Andrea Boscolo Camiletto, Lin Geng Foo +2

3D Gaussian Splatting (3DGS) is widely used for novel view synthesis due to its high rendering quality and fast inference time. However, 3DGS predominantly relies on first-order op…

cs.CV2023

Warping the Residuals for Image Editing with StyleGAN

Ahmet Burak Yildirim, Hamza Pehlivan, Aysegul Dundar

StyleGAN models show editing capabilities via their semantically interpretable latent organizations which require successful GAN inversion methods to edit real images. Many works h…

cs.CV2023★ 2 cited

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…

cs.CV2023★ 33 cited

Image-to-Image Translation with Disentangled Latent Vectors for Face Editing

Yusuf Dalva, Hamza Pehlivan, Cansu Moran +2

We propose an image-to-image translation framework for facial attribute editing with disentangled interpretable latent directions. Facial attribute editing task faces the challenge…

cs.CV2021★ 8 cited

Benchmarking the Robustness of Instance Segmentation Models

Yusuf Dalva, Hamza Pehlivan, Said Fahri Altindis +1

This paper presents a comprehensive evaluation of instance segmentation models with respect to real-world image corruptions as well as out-of-domain image collections, e.g. images…