55 citations · 65 across the 7 of their papers we have counts for
7 papers
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…
UHDRes: Ultra-High-Definition Image Restoration via Dual-Domain Decoupled Spectral Modulation
S. Zhao, W. Lu, B. Wang +3
Ultra-high-definition (UHD) images often suffer from severe degradations such as blur, haze, rain, or low-light conditions, which pose significant challenges for image restoration…
Towards Biosignals-Free Autonomous Prosthetic Hand Control via Imitation Learning
Kaijie Shi, Wanglong Lu, Hanli Zhao +3
Limb loss affects millions globally, impairing physical function and reducing quality of life. Most traditional surface electromyographic (sEMG) and semi-autonomous methods require…
TextDoctor: Unified Document Image Inpainting via Patch Pyramid Diffusion Models
Wanglong Lu, Lingming Su, Jingjing Zheng +6
Digital versions of real-world text documents often suffer from issues like environmental corrosion of the original document, low-quality scanning, or human interference. Existing…
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…