Pinar Yanardag
22 papers · 2015–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Deep Learning
(18)
Models
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Computer Vision
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Generation
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Learning Types · Machine Learning
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Artificial Intelligence
(5)
Core AI · Artificial Intelligence
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Computer Science
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Keywords
diffusion model
(11)
latent space
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text-to-image generation
(4)
image generation
(4)
contrastive learning
(4)
low-rank adaptation
(3)
image manipulation
(2)
attention map
(2)
multi-concept generation
(2)
generative adversarial network
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submodular optimization
(2)
temporal consistency
(2)
text-to-image diffusion
(2)
semantic editing
(2)
image editing
(2)
generative model
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zero-shot learning
(2)
disentangled representation
(2)
text-to-video generation
(2)
interpretable direction
(2)
Papers
Diverse Video Generation with Determinantal Point Process-Guided Policy Optimization
CVPR 2026
DTG-Restore: Training-Free Diffusion Refinement for Generative Video Super-Resolution
CVPR 2026
Infinity-RoPE: Action-Controllable Infinite Video Generation Emerges From Autoregressive Self-Rollout
CVPR 2026
MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models
AAAI 2026
Plot’n Polish: Zero-Shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models
AAAI 2026
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
ICML 2025
Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation
ICCV 2025
Explaining in Diffusion: Explaining a Classifier with Diffusion Semantics
CVPR 2025
FluxSpace: Disentangled Semantic Editing in Rectified Flow Models
CVPR 2025
LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
CVPR 2025
LoRAverse: A Submodular Framework to Retrieve Diverse Adapters for Diffusion Models
ICCV 2025
CONFORM: Contrast is All You Need for High-Fidelity Text-to-Image Diffusion Models
CVPR 2024
NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
CVPR 2024
RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models
CVPR 2024
Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models
NeurIPS 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
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations
ECCV 2022
StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation
WACV 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
NeurIPS 2015