House Lee

FoundIR. [ICCV 2025] FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration

RWSR-EDL. Codes for "Real-World Image Super-Resolution by Exclusionary Dual-Learning" (TMM 2022)

CFDVSR. Collaborative Feedback Discriminative Propagation for Video Super-Resolution

DnSwin. Codes for our paper "DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-Transformer" (KBS 2022)

CTUN. Cascaded Temporal Updating Network for Efficient Video Super-Resolution

BasicSR2.0. Update BasicSR to support PyTorch2.0 DDP training

Awesome-Image-Denoising. Collect image denoising related papers, datasets, especially real-world image denoising.

RealSR-CCL. Codes for “Criteria Comparative Learning for Real-scene Image Super-Resolution” (TCSVT 2022)

PRRN. The testing code for our paper "Progressive Representation Re-Calibration Network for Lightweight Super-Resolution", Neurocomputing 2022

Low-Level-Tools. Some useful scripts for my low-level projects

RealSR-Zero. RealSR-Zero dataset provided by our paper "Criteria Comparative Learning for Real-scene Image Super-Resolution"