Ipek Oztas

I am an M.Sc. student at Bilkent University under the supervision of Prof. Aysegul Dundar at the Generative Deep Learning Research Lab. I was a research intern at Simon Fraser University (SFU) working with Prof. Andrea Tagliasacchi. I am also fortunate to collaborate with Duygu Ceylan on large reconstruction models.

My research focuses on understanding and generating the 3D world from 2D images. I am particularly interested in using generative priors to solve inverse problems in rendering and reconstruction. My recent work investigates 3D stylization and scene understanding to create more expressive and editable 3D representations.

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Research

I'm interested in computer vision and 3D graphics. My research focuses on Image Stylization, Diffusion Models, 3D Generative Models, Differentiable Rendering, and Scene Understanding.

News

  • June 2025 Started my research internship at SFU supervised by Prof. Andrea Tagliasacchi.
  • Mar. 2025 Our paper on 3D object stylization is accepted to SIGGRAPH 2025!

Publications

FullCircle: Effortless 3D Reconstruction from Casual 360° Captures
Yalda Foroutan*, Ipek Oztas*, Daniel Rebain, Aysegul Dundar, Kwang Moo Yi, Lily Goli, Andrea Tagliasacchi
under review, 2026
project page / pdf / code

Effortless 3D reconstruction from casual 360° captures that robustly handles the visible human operator.

3D Stylization via Large Reconstruction Model
Ipek Oztas, Duygu Ceylan, Aysegul Dundar
SIGGRAPH, 2025
project page / pdf / code

Leveraging Large Reconstruction Models for high-quality 3D style transfer while maintaining multiview consistency.

Towards Automated Detection of Inline Code Comment Smells
Ipek Oztas, U Boran Torun, Eray Tuzun
EASE, 2025
pdf

Automated detection of code comment smells to improve software maintainability and documentation quality.

Teaching

Teaching Assistant, Introduction to Machine Learning, Fall 2025
Teaching Assistant (Lead), Deep Generative Models, Spring 2024
Teaching Assistant, Introduction to Machine Learning, Fall 2024

Academic Services

  • Conference Reviewer: 3DV, CVPR
  • Journal Reviewer: IEEE TVCG

Website source code based on Jon Barron.