Chun-Le Guo

papers

626

total citations

papers (17)

Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration

ECCV 2024arXiv

citations

DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution

ICCV 2025arXiv

citations

Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing

CVPR 2025arXiv

citations

FaceMe: Robust Blind Face Restoration with Personal Identification

AAAI 2025arXiv

citations

Towards RAW Object Detection in Diverse Conditions

CVPR 2025arXiv

citations

DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts

AAAI 2025arXiv

citations

A Diffusion-Based Framework for Occluded Object Movement

AAAI 2025arXiv

citations

Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable

CVPR 2025arXiv

citations

Training Your Image Restoration Network Better with Random Weight Network as Optimization Function

NEURIPS 2023

citations

FocusCut: Diving Into a Focus View in Interactive Segmentation

CVPR 2022

citations

LAMP: Learn A Motion Pattern for Few-Shot Video Generation

CVPR 2024

citations

DNF: Decouple and Feedback Network for Seeing in the Dark

CVPR 2023

citations

Image Dehazing Transformer With Transmission-Aware 3D Position Embedding

CVPR 2022

citations

Chun-Le Guo

papers (17)

Towards an End-to-End Framework for Flow-Guided Video Inpainting

AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation

RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors

SRFormer: Permuted Self-Attention for Single Image Super-Resolution

Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration

DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution

Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing

FaceMe: Robust Blind Face Restoration with Personal Identification

Towards RAW Object Detection in Diverse Conditions

DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts

A Diffusion-Based Framework for Occluded Object Movement

Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable

Training Your Image Restoration Network Better with Random Weight Network as Optimization Function

FocusCut: Diving Into a Focus View in Interactive Segmentation

LAMP: Learn A Motion Pattern for Few-Shot Video Generation

DNF: Decouple and Feedback Network for Seeing in the Dark

Image Dehazing Transformer With Transmission-Aware 3D Position Embedding

papers (17)

Towards an End-to-End Framework for Flow-Guided Video Inpainting

AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation

RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors

SRFormer: Permuted Self-Attention for Single Image Super-Resolution

Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration

DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution

Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing

FaceMe: Robust Blind Face Restoration with Personal Identification

Towards RAW Object Detection in Diverse Conditions

DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts

A Diffusion-Based Framework for Occluded Object Movement

Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable

Training Your Image Restoration Network Better with Random Weight Network as Optimization Function

FocusCut: Diving Into a Focus View in Interactive Segmentation

LAMP: Learn A Motion Pattern for Few-Shot Video Generation

DNF: Decouple and Feedback Network for Seeing in the Dark

Image Dehazing Transformer With Transmission-Aware 3D Position Embedding