Jong Chul Ye

DreamMakeup: Face Makeup Customization using Latent Diffusion Models WACV 2026 Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation CVPR 2025 VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide CVPR 2025 Optical-Flow Guided Prompt Optimization for Coherent Video Generation CVPR 2025 Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI CVPR 2025 FlowDPS : Flow-Driven Posterior Sampling for Inverse Problems ICCV 2025 CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models ICLR 2025 Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models AAAI 2025 Regularization by Texts for Latent Diffusion Inverse Solvers ICLR 2025 ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler ICLR 2025 TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation ICLR 2025 Generalized Consistency Trajectory Models for Image Manipulation ICLR 2025 Simple ReFlow: Improved Techniques for Fast Flow Models ICLR 2025 VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models ICCV 2025 Free2Guide: Training-Free Text-to-Video Alignment using Image LVLM ICCV 2025 Reangle-A-Video: 4D Video Generation as Video-to-Video Translation ICCV 2025 Inference-Time Diffusion Model Distillation ICCV 2025 Text-to-Image Synthesis for Domain Generalization in Face Anti-Spoofing WACV 2025 Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation ICML 2025 LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models ICML 2025 Minority-Focused Text-to-Image Generation via Prompt Optimization CVPR 2025 Solving Video Inverse Problems Using Image Diffusion Models ICLR 2025 Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models ICLR 2024 Patch-Wise Graph Contrastive Learning for Image Translation AAAI 2024 VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models CVPR 2024 Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models CVPR 2024 Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing CVPR 2024 Self-supervised Debiasing Using Low Rank Regularization CVPR 2024 DreamMotion: Space-Time Self-Similar Score Distillation for Zero-Shot Video Editing ECCV 2024 Self-Guided Generation of Minority Samples Using Diffusion Models ECCV 2024 Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems ECCV 2024 OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation ECCV 2024 DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation ECCV 2024 LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation ICLR 2024 ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF ICLR 2024 Don't Play Favorites: Minority Guidance for Diffusion Models ICLR 2024 Unpaired Image-to-Image Translation via Neural Schrödinger Bridge ICLR 2024 Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems ICLR 2024 Prompt-tuning Latent Diffusion Models for Inverse Problems ICML 2024 Defining Neural Network Architecture through Polytope Structures of Datasets ICML 2024 Parallel Diffusion Models of Operator and Image for Blind Inverse Problems CVPR 2023 Diffusion-based Image Translation using disentangled style and content representation ICLR 2023 Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation ICLR 2023 Diffusion Posterior Sampling for General Noisy Inverse Problems ICLR 2023 Minimizing Trajectory Curvature of ODE-based Generative Models ICML 2023 Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models NIPS 2023 Direct Diffusion Bridge using Data Consistency for Inverse Problems NIPS 2023 Denoising MCMC for Accelerating Diffusion-Based Generative Models ICML 2023 Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer ICCV 2023 Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models ICCV 2023 Training Debiased Subnetworks With Contrastive Weight Pruning CVPR 2023 Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models CVPR 2023 DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation CVPR 2022 Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems Through Stochastic Contraction CVPR 2022 Exploring Patch-Wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks CVPR 2022 DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model ECCV 2022 CLIPstyler: Image Style Transfer With a Single Text Condition CVPR 2022 CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation ECCV 2022 Improving Diffusion Models for Inverse Problems using Manifold Constraints NIPS 2022 Energy-Based Contrastive Learning of Visual Representations NIPS 2022 Noise Distribution Adaptive Self-Supervised Image Denoising Using Tweedie Distribution and Score Matching CVPR 2022 Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis NIPS 2021 Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention NIPS 2021 Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images NIPS 2021 Diagonal Attention and Style-Based GAN for Content-Style Disentanglement in Image Generation and Translation ICCV 2021 CollaGAN: Collaborative GAN for Missing Image Data Imputation CVPR 2019 Understanding Geometry of Encoder-Decoder CNNs ICML 2019