Yusuf Dalva

Yusuf Dalva

Ph.D. Student @ Virginia Tech

  About Me

I am a Ph.D. student at Virginia Tech, Blacksburg, where I am affiliated with Sanghani Center for Artificial Intelligence and Data Analytics. I am working on making generative models more controllable and customizable to further enhance control over them. Before joining Virginia Tech, I obtained my M.Sc. & B.Sc. degree from Deprtament of Computer Engineering at Bilkent University (M.Sc. Thesis).

At Virginia Tech, I am currently working on the controllability aspect of generative models under the supervison of Pinar Yanardag. In the past, I have been fortunate to work with Aysegul Dundar at Bilkent University, and Yijun Li at Adobe Research.

  Research Interests

  Recent Research

fluxspace

FluxSpace: Disentangled Semantic Editing in Rectified Flow Transformers

Yusuf Dalva, Kavana Venkatesh, Pinar Yanardag

arXiv, 2024

Paper, Project Page

layerfusion

LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors

Yusuf Dalva, Yijun Li, Qing Liu, Nanxuan Zhao, Jianming Zhang, Zhe Lin, Pinar Yanardag

arXiv, 2024

Paper, Project Page

gantastic

GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models

Yusuf Dalva, Hidir Yesiltepe, Pinar Yanardag

arXiv, 2024

Paper, Project Page

noiseclr

NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models

Yusuf Dalva, Pinar Yanardag

CVPR 2024 (Oral - top 0.8%)

Paper, Project Page

For the full list of publications, visit the Publications Page and my Google Scholar profile.

  News & Updates

December 2024: FluxSpace, LayerFusion and Context Canvas now available at arXiv.

May 2024: Joined Adobe Research as a Research Scientist Intern.

May 2024: GANTASTIC now available at arXiv.

February 2024: NoiseCLR got accepted to CVPR 2024 for an oral presentation.

September 2023: "Image-to-Image Translation For Face Attribute Editing With Disentangled Latent Directions" won Best Master Thesis Award from IEEE CS Turkey Chapter.

August 2023: Started my Ph.D. at Virginia Tech.