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Home/Authors/Pinar Yanardag

Pinar Yanardag

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 4:44 AM AMS

14

papers

318

total citations

papers (14)

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

LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions

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

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

FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations

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

NEURIPS 2025arXiv

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

Dynamic View Synthesis as an Inverse Problem

NEURIPS 2025arXiv

CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation

NEURIPS 2025arXiv

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

NEURIPS 2025arXiv

Explaining in Diffusion: Explaining a Classifier with Diffusion Semantics