Hyungjin Chung

papers

1,777

total citations

papers (14)

Improving Diffusion Models for Inverse Problems using Manifold Constraints

NEURIPS 2022arXiv

605

citations

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems Through Stochastic Contraction

CVPR 2022arXiv

427

citations

VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling

ICCV 2025arXiv

citations

SteerX: Creating Any Camera-Free 3D and 4D Scenes with Geometric Steering

ICCV 2025arXiv

citations

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI

CVPR 2025arXiv

citations

CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models

ICCV 2025arXiv

citations

Hyungjin Chung

papers (14)

Improving Diffusion Models for Inverse Problems using Manifold Constraints

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems Through Stochastic Contraction

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

Direct Diffusion Bridge using Data Consistency for Inverse Problems

Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models

Prompt-tuning Latent Diffusion Models for Inverse Problems

Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems

VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling

SteerX: Creating Any Camera-Free 3D and 4D Scenes with Geometric Steering

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI

CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models

papers (14)

Improving Diffusion Models for Inverse Problems using Manifold Constraints

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems Through Stochastic Contraction

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

Direct Diffusion Bridge using Data Consistency for Inverse Problems

Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models

Prompt-tuning Latent Diffusion Models for Inverse Problems

Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems

VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling

SteerX: Creating Any Camera-Free 3D and 4D Scenes with Geometric Steering

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI

CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models