2 citations · 3 across the 4 of their papers we have counts for
5 papers
GeoFusionLRM: Geometry-Aware Self-Correction for Consistent 3D Reconstruction
Ahmet Burak Yildirim, Tuna Saygin, Duygu Ceylan +1
Single-image 3D reconstruction with large reconstruction models (LRMs) has advanced rapidly, yet reconstructions often exhibit geometric inconsistencies and misaligned details that…
MD-ProjTex: Texturing 3D Shapes with Multi-Diffusion Projection
Ahmet Burak Yildirim, Mustafa Utku Aydogdu, Duygu Ceylan +1
We introduce MD-ProjTex, a method for fast and consistent text-guided texture generation for 3D shapes using pretrained text-to-image diffusion models. At the core of our approach…
CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models
Yigit Ekin, Ahmet Burak Yildirim, Erdem Eren Caglar +3
Advanced image editing techniques, particularly inpainting, are essential for seamlessly removing unwanted elements while preserving visual integrity. Traditional GAN-based methods…
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…
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…