Pinar Yanardag
19 papers · 2015–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Cross-Pollinator (10) π Conference Polyglot (7) π Academic Marathon (10) π Renaissance Researcher (6)
πΊοΈ
Taxonomy Completionist
(32)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(6)
π¬
Deep Specialist
(10)
π§¬
Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(71)
π₯
Unstoppable
(5)
π
Century Club
(17)
β‘
Prolific Year
(6)
π
Trend Setter
Conferences
CVPR (6)
ICCV (3)
WACV (3)
AAAI (2)
NIPS (2)
ECCV (1)
EMNLP (1)
ICML (1)
Top co-authors
Keywords
diffusion model
(9)
latent space
(5)
text-to-image generation
(4)
image generation
(4)
contrastive learning
(4)
low-rank adaptation
(3)
multi-concept generation
(2)
image manipulation
(2)
interpretable direction
(2)
text-to-image diffusion
(2)
generative adversarial network
(2)
semantic editing
(2)
temporal consistency
(2)
image editing
(2)
disentangled representation
(2)
zero-shot learning
(2)
generative model
(2)
attention map
(2)
submodular optimization
(2)
story visualization
(1)
Papers
Plotβn Polish: Zero-Shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models
AAAI 2026
MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models
AAAI 2026
LoRAverse: A Submodular Framework to Retrieve Diverse Adapters for Diffusion Models
ICCV 2025
LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
CVPR 2025
Explaining in Diffusion: Explaining a Classifier with Diffusion Semantics
CVPR 2025
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
ICML 2025
Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation
ICCV 2025
FluxSpace: Disentangled Semantic Editing in Rectified Flow Models
CVPR 2025
RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models
CVPR 2024
CONFORM: Contrast is All You Need for High-Fidelity Text-to-Image Diffusion Models
CVPR 2024
Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models
NIPS 2024
NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
CVPR 2024
Fantastic Style Channels and Where To Find Them: A Submodular Framework for Discovering Diverse Directions in GANs
WACV 2023
Text and Image Guided 3D Avatar Generation and Manipulation
WACV 2023
StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation
WACV 2022
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations
ECCV 2022
LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions
ICCV 2021
WordRank: Learning Word Embeddings via Robust Ranking
EMNLP 2016
A Structural Smoothing Framework For Robust Graph Comparison
NIPS 2015