Hyungjin Chung
17 papers · 2022–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (7)
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Interdisciplinary Bridge
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Dynamic Duo
(13)
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Prolific Year
(7)
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Century Club
(17)
Conferences
CVPR (4)
ICCV (4)
ICLR (4)
NIPS (2)
ECCV (1)
ICML (1)
MICCAI (1)
Top co-authors
Keywords
diffusion model
(7)
inverse problem
(6)
image restoration
(3)
image inpainting
(2)
manifold constraint
(2)
3d reconstruction
(2)
explainable ai
(1)
scene reconstruction
(1)
gaussian splatting
(1)
feature attribution
(1)
image super-resolution
(1)
reward function
(1)
image deblurring
(1)
neural radiance field
(1)
text-to-3d generation
(1)
diffusion bridge
(1)
3d scene generation
(1)
sampling acceleration
(1)
camera pose estimation
(1)
geometric alignment
(1)
Papers
Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion
MICCAI 2025
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
CVPR 2025
CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models
ICCV 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
Regularization by Texts for Latent Diffusion Inverse Solvers
ICLR 2025
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
ICLR 2025
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems
ECCV 2024
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
ICLR 2024
Prompt-tuning Latent Diffusion Models for Inverse Problems
ICML 2024
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models
ICCV 2023
Direct Diffusion Bridge using Data Consistency for Inverse Problems
NIPS 2023
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models
CVPR 2023
Diffusion Posterior Sampling for General Noisy Inverse Problems
ICLR 2023
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems
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
NIPS 2022