213 citations · 519 across the 20 of their papers we have counts for
19 papers · 1 filter
Diverse Semantic Image Editing with Style Codes
Hakan Sivuk, Aysegul Dundar
Semantic image editing requires inpainting pixels following a semantic map. It is a challenging task since this inpainting requires both harmony with the context and strict complia…
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…
Progressive Learning of 3D Reconstruction Network from 2D GAN Data
Aysegul Dundar, Jun Gao, Andrew Tao +1
This paper presents a method to reconstruct high-quality textured 3D models from single images. Current methods rely on datasets with expensive annotations; multi-view images and t…
Inst-Inpaint: Instructing to Remove Objects with Diffusion Models
Ahmet Burak Yildirim, Vedat Baday, Erkut Erdem +2
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…
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…
VecGAN: Image-to-Image Translation with Interpretable Latent Directions
Yusuf Dalva, Said Fahri Altindis, Aysegul Dundar
We propose VecGAN, an image-to-image translation framework for facial attribute editing with interpretable latent directions. Facial attribute editing task faces the challenges of…