Pinar Yanardag

10

Papers

62

Total Citations

Papers (10)

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

LoRACLR: Contrastive Adaptation for Customization of Diffusion Models

FluxSpace: Disentangled Semantic Editing in Rectified Flow Models

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers

LoRAverse: A Submodular Framework to Retrieve Diverse Adapters for Diffusion Models

Personalized Image Editing in Text-to-Image Diffusion Models via Collaborative Direct Preference Optimization

Explaining in Diffusion: Explaining a Classifier with Diffusion Semantics

RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models

CONFORM: Contrast is All You Need for High-Fidelity Text-to-Image Diffusion Models

Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation