2.1k citations
- University of Chinese Academy of SciencesCN23 papers
- Chinese Academy of SciencesCN18 papers
- Peking UniversityCN13 papers
- Hangzhou Normal UniversityCN11 papers
- Fudan UniversityCN10 papers
- Wenzhou Institute, University of Chinese Academy of SciencesCN10 papers
- Kavli Institute for Theoretical SciencesCN9 papers
- Zhejiang LabCN8 papers
- Zhejiang UniversityCN8 papers
- Anhui UniversityCN7 papers
- Institute of Theoretical PhysicsCN7 papers
- Nanjing UniversityCN7 papers
18 papers · 1 filter
DocPure: Prompt-Free Unified Document Restoration via Degradation-Aware Structure-Guided Wavelet Modulation
Lingming Su, Wanglong Lu, Tao Wang +4
High-quality document images are pivotal for information archiving and downstream automatic processing. However, they are frequently compromised by diverse degradations during unco…
Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing
Wanglong Lu, Lingming Su, Kaijie Shi +4
Recent diffusion-based generative models have shown impressive performance in image generation and editing. However, due to memory limitations and the high cost of collecting high-…
EchoSR: Efficient Context Harnessing for Lightweight Image Super-Resolution
Hanli Zhao, Binhao Wang, Shihao Zhao +3
Image super-resolution (SR) aims to reconstruct high-quality, high-resolution (HR) images from low-resolution (LR) inputs and plays a critical role in various downstream applicatio…
U-Net-Like Spiking Neural Networks for Single Image Dehazing
Huibin Li, Haoran Liu, Mingzhe Liu +3
Image dehazing is a critical challenge in computer vision, essential for enhancing image clarity in hazy conditions. Traditional methods often rely on atmospheric scattering models…
SAM-TTT: Segment Anything Model via Reverse Parameter Configuration and Test-Time Training for Camouflaged Object Detection
Zhenni Yu, Li Zhao, Guobao Xiao +1
This paper introduces a new Segment Anything Model (SAM) that leverages reverse parameter configuration and test-time training to enhance its performance on Camouflaged Object Dete…
Visual Style Prompt Learning Using Diffusion Models for Blind Face Restoration
Wanglong Lu, Jikai Wang, Tao Wang +3
Blind face restoration aims to recover high-quality facial images from various unidentified sources of degradation, posing significant challenges due to the minimal information ret…