Yanardag, Pinar

23 publications

NeurIPS 2025 CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation Kavana Venkatesh, Connor Dunlop, Pinar Yanardag

ICML 2025 ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features Alec Helbling, Tuna Han Salih Meral, Benjamin Hoover, Pinar Yanardag, Duen Horng Chau

ICCV 2025 Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation Tuna Han Salih Meral, Enis Simsar, Federico Tombari, Pinar Yanardag

NeurIPS 2025 Dynamic View Synthesis as an Inverse Problem Hidir Yesiltepe, Pinar Yanardag

CVPR 2025 Explaining in Diffusion: Explaining a Classifier with Diffusion Semantics Tahira Kazimi, Ritika Allada, Pinar Yanardag

CVPR 2025 FluxSpace: Disentangled Semantic Editing in Rectified Flow Models Yusuf Dalva, Kavana Venkatesh, Pinar Yanardag

CVPR 2025 LoRACLR: Contrastive Adaptation for Customization of Diffusion Models Enis Simsar, Thomas Hofmann, Federico Tombari, Pinar Yanardag

NeurIPS 2025 LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Yusuf Dalva, Hidir Yesiltepe, Pinar Yanardag

ICCV 2025 LoRAverse: A Submodular Framework to Retrieve Diverse Adapters for Diffusion Models Mert Sonmezer, Matthew Zheng, Pinar Yanardag

NeurIPS 2025 Personalized Image Editing in Text-to-Image Diffusion Models via Collaborative Direct Preference Optimization Connor Dunlop, Matthew Zheng, Kavana Venkatesh, Pinar Yanardag

CVPR 2024 CONFORM: Contrast Is All You Need for High-Fidelity Text-to-Image Diffusion Models Tuna Han Salih Meral, Enis Simsar, Federico Tombari, Pinar Yanardag

CVPR 2024 NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models Yusuf Dalva, Pinar Yanardag

CVPR 2024 RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models Ozgur Kara, Bariscan Kurtkaya, Hidir Yesiltepe, James M. Rehg, Pinar Yanardag

NeurIPS 2024 Stylebreeder: Exploring and Democratizing Artistic Styles Through Text-to-Image Models Matthew Zheng, Enis Simsar, Hidir Yesiltepe, Federico Tombari, Joel Simon, Pinar Yanardag

WACV 2023 Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs Enis Simsar, Umut Kocasari, Ezgi Gülperi Er, Pinar Yanardag

WACV 2023 Text and Image Guided 3D Avatar Generation and Manipulation Zehranaz Canfes, M. Furkan Atasoy, Alara Dirik, Pinar Yanardag

ECCV 2022 FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations Cemre Efe Karakas, Alara Dirik, Eylül Yalçınkaya, Pinar Yanardag

CVPRW 2022 PaintInStyle: One-Shot Discovery of Interpretable Directions by Painting Berkay Doner, Elif Sema Balcioglu, Merve Rabia Barin, Umut Kocasari, Mert Tiftikci, Pinar Yanardag

CVPRW 2022 Rank in Style: A Ranking-Based Approach to Find Interpretable Directions Umut Kocasari, Kerem Zaman, Mert Tiftikci, Enis Simsar, Pinar Yanardag

WACV 2022 StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation Umut Kocasari, Alara Dirik, Mert Tiftikci, Pinar Yanardag

ICCVW 2021 Graph2Pix: A Graph-Based Image to Image Translation Framework Dilara Gokay, Enis Simsar, Efehan Atici, Alper Ahmetoglu, Atif Emre Yüksel, Pinar Yanardag

ICCV 2021 LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions Oğuz Kaan Yüksel, Enis Simsar, Ezgi Gülperi Er, Pinar Yanardag

NeurIPS 2015 A Structural Smoothing Framework for Robust Graph Comparison Pinar Yanardag, S.V.N. Vishwanathan