Geon Yeong Park
16 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Deep Learning
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Computer Vision
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Optimization & Theory · Machine Learning
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Learning Types · Machine Learning
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Artificial Intelligence
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Keywords
diffusion model
(7)
latent diffusion
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latent diffusion model
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image editing
(3)
video generation
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video customization
(2)
knowledge distillation
(2)
model compression
(2)
score distillation
(2)
ddim inversion
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representation learning
(2)
text-to-image generation
(2)
contrastive learning
(2)
spurious correlation
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text-to-video diffusion
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spectral analysis
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neural network optimization
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procedural generation
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adversarial training
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domain adaptation
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Papers
DreamMakeup: Face Makeup Customization using Latent Diffusion Models
WACV 2026
WorldGen: From Text to Traversable and Interactive 3D Worlds
CVPR 2026
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
ICLR 2025
Inference-Time Diffusion Model Distillation
ICCV 2025
Regularization by Texts for Latent Diffusion Inverse Solvers
ICLR 2025
Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models
AAAI 2025
VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide
CVPR 2025
Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
CVPR 2024
DreamMotion: Space-Time Self-Similar Score Distillation for Zero-Shot Video Editing
ECCV 2024
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
ECCV 2024
Self-supervised Debiasing Using Low Rank Regularization
CVPR 2024
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models
CVPR 2024
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
NeurIPS 2023
Training Debiased Subnetworks With Contrastive Weight Pruning
CVPR 2023
Information-Theoretic Regularization for Multi-Source Domain Adaptation
ICCV 2021
Reliably Fast Adversarial Training via Latent Adversarial Perturbation
ICCV 2021