Hyungjin Chung
18 papers · 2022–2026 · 7 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (18) π€ Dynamic Duo (14)
π¬
Deep Specialist
(10)
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Keyword Champion
(3)
π§
Keyword Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(60)
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Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(12)
Models
(11)
Computer Vision
(10)
Machine Learning
(6)
Processing
(6)
Artificial Intelligence
(4)
Core AI
(4)
Optimization & Theory
(4)
Domain-Specific
(3)
Generation
(3)
Application Areas
(2)
Core Methods
(2)
Analysis
(1)
Learning Types Β· Machine Learning
(1)
Learning Types Β· Deep Learning
(1)
Keywords
diffusion model
(11)
inverse problem
(9)
image restoration
(3)
manifold constraint
(3)
video generation
(2)
image inpainting
(2)
3d reconstruction
(2)
image reconstruction
(1)
medical imaging
(1)
manifold learning
(1)
feature attribution
(1)
posterior sampling
(1)
image super-resolution
(1)
laplace approximation
(1)
gaussian splatting
(1)
text-to-image generation
(1)
generative model
(1)
image deblurring
(1)
reward function
(1)
scene reconstruction
(1)
Papers
ReDirector: Creating Any-Length Video Retakes with Rotary Camera Encoding
CVPR 2026
CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models
ICCV 2025
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
ICLR 2025
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
CVPR 2025
Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion
MICCAI 2025
Regularization by Texts for Latent Diffusion Inverse Solvers
ICLR 2025
SteerX: Creating Any Camera-Free 3D and 4D Scenes with Geometric Steering
ICCV 2025
VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling
ICCV 2025
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
ICLR 2024
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems
ECCV 2024
Prompt-tuning Latent Diffusion Models for Inverse Problems
ICML 2024
Diffusion Posterior Sampling for General Noisy Inverse Problems
ICLR 2023
Direct Diffusion Bridge using Data Consistency for Inverse Problems
NeurIPS 2023
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models
ICCV 2023
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems
CVPR 2023
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models
CVPR 2023
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems Through Stochastic Contraction
CVPR 2022
Improving Diffusion Models for Inverse Problems using Manifold Constraints
NeurIPS 2022