← Authors

Jong Chul Ye

67 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (57) 🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (7) πŸ”¬ Deep Specialist (24) πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (13) πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (6) πŸ—ƒοΈ Keyword Collector (172) πŸ’Ž Century Club (67) ⚑ Prolific Year (9)

Conferences

CVPR (18) ICLR (16) ICCV (8) ECCV (7) ICML (7) NIPS (7) AAAI (2) WACV (2)

Top co-authors

Geon Yeong Park (13) Hyungjin Chung (13) Gihyun Kwon (10) Jeongsol Kim (10) Beomsu Kim (8) Hyeonho Jeong (6) Suhyeon Lee (5) Taesung Kwon (5) Sang Wan Lee (5) Jaemin Kim (4)

Keywords

diffusion model (20) inverse problem (8) video generation (6) contrastive learning (5) latent diffusion model (4) image restoration (4) image generation (4) self-supervised learning (3) image inpainting (3) generative model (3) image translation (3) text-to-video diffusion (3) text-to-image generation (3) spectral analysis (2) 3d reconstruction (2) flow matching (2) image-to-image translation (2) knowledge distillation (2) representation learning (2) model compression (2)

Papers

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 SchrΓΆdinger 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