-
IMAGINE
- 163 Xianlin Avenue, Qixia District, Nanjing, China.
- https://taowangzj.github.io/
Stars
EchoSR, an efficient context-harnessing framework that unifies fine-grained detail enhancement and global structure fusion through hierarchical and overlapping context modeling strategies for light…
[TPAMI 2026] "Scalable and Generalizable Correspondence Pruning via Geometry-Consistent Pre-training" official implementation.
The code release of paper "LLFormer V2: Illumination-Aware Transformer with Semantic Fusion for UHD Low-Light Image Enhancement and Beyond"
[TAI 2025] Implementation of "IGDNet: Zero-Shot Robust Underexposed Image Enhancement via Illumination-Guided and Denoising"
The repository of survey paper "Deep Image Restoration: A Survey"
Pattern Recognition 2025🔥🔥🔥: official code for Visual Style Prompt Learning Using Diffusion Models for Blind Face Restoration
The code release of paper " GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions", IJCV 2024
🔥🔥🔥 Computational Visual Media 2025, few-shot image inpainting !!!
[ECCV 2024] OMG: Occlusion-friendly Personalized Multi-concept Generation In Diffusion Models
[arXiv 2024] PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removal
[AAAI 2024] VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning
Neurocomputing 2025 🔥🔥🔥 Novel Exemplar-guided facial image inpainting and editing method!!
The code of paper "LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement", PR 2025
The code release of paper "Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method", AAAI 2023
A comprehensive list of recources (papers, repositories etc.) about face restoration methods.
This is the offical website for paper ''Category-consistent deep network learning for accurate vehicle logo recognition''
The code release of paper "CVIU Pyramid Channel-based Feature Attention Network for Image Dehazing", CVIU 2020