Official PyTorch implementation of "LETBSR: Lightweight Efficient Transformer for Blind Image Super-Resolution"

Official PyTorch implementation of TG-PMCA: A Transformer-Guided Progressive Masked Convolutional Attention Network for Single Image Super-Resolution.

Code for GeoRef (TCSVT2026). Paper: Reference-Based Super-Resolution with Geometry-Aware Transfer

Physics-Inspired Wave Evolution Attention for Efficient Image Super-Resolution

EDMT:Efficient Hybrid Mamba-Transformer with Dual-Path Selective Scan for Lightweight Image Super-Resolution

A Fully Spiking Neural Network for Stereo Image Restoration

Repo for FAPE-IR: Frequency-Aware Planning and Execution Framework for All-in-One Image Restoration (CVPR2026)

Dual-Path Spatial-Frequency Transformer with Bidirectional Cross-Attention for Single Image Super Resolution

[CVPRW 2026] MFCT: A Multi-Feature Concurrent Transformer Model for Image Super-resolution

Linear Recurrent Unit with Semantic Modulation for Image Super-Resolution (CVPR Findings 2026)

[CVPR 2024] Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts

[CVPRW 2024] Training Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution

Dynamic Low-Rank Transformer Adapter (DLRA) for Real-world Image Super-Resolution

LGM-Net: Feature-Domain Multi-Scale Network For Image Compressive Sensing Based on Learned Gradient Mapping (Accepted by TMM 2026)

[TIP2026]Towards Memory-efficient Hyperspectral Image Reconstruction via Consistency Learning

The official code for the paper "It Takes Two: A Duet of Periodicity and Directionality for Burst Flicker Removal".

[CVPR 2026 Findings] Official repository for "SAT: Selective Aggregation Transformer for Image Super-Resolution"

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FGA-SR: Fourier-Guided Attention Upsampling for Image Super-Resolution

[CVPR'26] Bridging the Perception Gap in Image Super-Resolution Evaluation

Implementation of "CUST : Clustered Unit-level Similarity Transformer for Lightweight Image Super-Resolution"

Dual Graph Regularized Deep Unfolding Network for Guided Depth Map Super-resolution (CVPR2026)

[CVPR 2026] Enhancing Unregistered Hyperspectral Image Super-Resolution via Unmixing-based Abundance Fusion Learning

CDEHAT: Conditional Diffusion-Assisted Enhanced Hybrid Attention Transformer for Remote Sensing Imagery Super-Resolution

Official Code for “Dual-Path Learning based on Frequency Structural Decoupling and Regional-Aware Fusion for Low-Light Image Super-Resolution” ICME 2026

[CVPR'26] Official implementation of "UCMNet: Uncertainty-Aware Context Memory Network for Under-Display Camera Image Restoration"

Dual-Dimension Modulation Aggregation Network for Lightweight Image Super-Resolution

FMCNet: Enhancing Anime Image Super-Resolution through Frequency-Aware Multi-Scale Consistency