| 2026 | AAAI | Plot'n Polish: Zero-Shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models. | Kiymet Akdemir, Jing Shi, Kushal Kafle, Brian L. Price, Pinar Yanardag |
| 2026 | AAAI | MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models. | Tuna Han Salih Meral, Hidir Yesiltepe, Connor Dunlop, Pinar Yanardag |
| 2026 | SIGGRAPH | Canvas-to-Image: Compositional Image Generation with Multimodal Controls. | Yusuf Dalva, Guocheng Gordon Qian, Maya Goldenberg, Tsai-Shien Chen, Kfir Aberman, Sergey Tulyakov, Pinar Yanardag, Kuan-Chieh Jackson Wang |
| 2025 | CVPR | FluxSpace: Disentangled Semantic Editing in Rectified Flow Models. | Yusuf Dalva, Kavana Venkatesh, Pinar Yanardag |
| 2025 | CVPR | Explaining in Diffusion: Explaining a Classifier with Diffusion Semantics. | Tahira Kazimi, Ritika Allada, Pinar Yanardag |
| 2025 | CVPR | LoRACLR: Contrastive Adaptation for Customization of Diffusion Models. | Enis Simsar, Thomas Hofmann, Federico Tombari, Pinar Yanardag |
| 2025 | ICCV | Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation. | Tuna Han Salih Meral, Enis Simsar, Federico Tombari, Pinar Yanardag |
| 2025 | ICCV | LoRAverse: A Submodular Framework to Retrieve Diverse Adapters for Diffusion Models. | Mert Sonmezer, Matthew Zheng, Pinar Yanardag |
| 2025 | ICML | ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features. | Alec Helbling, Tuna Han Salih Meral, Benjamin Hoover, Pinar Yanardag, Duen Horng Chau |
| 2024 | CVPR | NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models. | Yusuf Dalva, Pinar Yanardag |
| 2024 | CVPR | RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models. | Ozgur Kara, Bariscan Kurtkaya, Hidir Yesiltepe, James M. Rehg, Pinar Yanardag |
| 2024 | CVPR | CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models. | Tuna Han Salih Meral, Enis Simsar, Federico Tombari, Pinar Yanardag |
| 2023 | WACV | Text and Image Guided 3D Avatar Generation and Manipulation. | Zehranaz Canfes, M. Furkan Atasoy, Alara Dirik, Pinar Yanardag |
| 2023 | WACV | Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs. | Enis Simsar, Umut Kocasari, Ezgi Glperi Er, Pinar Yanardag |
| 2022 | CVPR | PaintInStyle: One-Shot Discovery of Interpretable Directions by Painting. | Berkay Doner, Elif Sema Balcioglu, Merve Rabia Barin, Umut Kocasari, Mert Tiftikci, Pinar Yanardag |
| 2022 | CVPR | Rank in Style: A Ranking-based Approach to Find Interpretable Directions. | Umut Kocasari, Kerem Zaman, Mert Tiftikci, Enis Simsar, Pinar Yanardag |
| 2022 | ECCV | FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations. | Cemre Karakas, Alara Dirik, Eylul Yalcinkaya, Pinar Yanardag |
| 2022 | WACV | StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation. | Umut Kocasari, Alara Dirik, Mert Tiftikci, Pinar Yanardag |
| 2021 | ICCV | LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions. | Oguz Kaan Yksel, Enis Simsar, Ezgi Glperi Er, Pinar Yanardag |
| 2016 | EMNLP | WordRank: Learning Word Embeddings via Robust Ranking. | Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, S. V. N. Vishwanathan |
| 2016 | WWW | Turning Down the Noise in Classrooms. | Mariheida Cordova-Sanchez, Pinar Yanardag |
| 2015 | KDD | Deep Graph Kernels. | Pinar Yanardag, S. V. N. Vishwanathan |