Affiliation
Ph.D. Student
Research & Teaching Assistant
Bilkent University, Computer Engineering
Generative Deep Learning Research Lab
Research Interests
I work on deep generative models for visual content creation and editing. My earlier work explored GAN inversion for image inpainting and editing. I then shifted toward diffusion models, working on object removal from images guided by text instructions or visual context. Recently, I have been working on 3D content generation, including text-driven texture synthesis for 3D shapes and single-image 3D reconstruction.
Teaching Assistantship
Selected Publications
In Submission
Teaser
Inst-Inpaint: Instructing to Remove Objects with Diffusion Models

A novel inpainting framework that can remove objects from images based on the instructions given as text prompts.

Ahmet Burak Yildirim, Vedat Baday, Erkut Erdem, Aykut Erdem, Aysegul Dundar

ICCV 2023
Teaser
Diverse Inpainting and Editing with GAN Inversion

A novel method that inverts masked images into StyleGAN's latent space for diverse inpainting and editing.

Ahmet Burak Yildirim*, Hamza Pehlivan*, Bahri Batuhan Bilecen, Aysegul Dundar