1 citations · 1 across the 2 of their papers we have counts for
4 papers
Two Heads Better than One: Dual Degradation Representation for Blind Super-Resolution
Hsuan Yuan, Shao-Yu Weng, I-Hsuan Lo +5
Previous methods have demonstrated remarkable performance in single image super-resolution (SISR) tasks with known and fixed degradation (e.g., bicubic downsampling). However, when…
DynFaceRestore: Balancing Fidelity and Quality in Diffusion-Guided Blind Face Restoration with Dynamic Blur-Level Mapping and Guidance
Huu-Phu Do, Yu-Wei Chen, Yi-Cheng Liao +4
Blind Face Restoration aims to recover high-fidelity, detail-rich facial images from unknown degraded inputs, presenting significant challenges in preserving both identity and deta…
RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network
Van-Tin Luu, Yon-Lin Cai, Vu-Hoang Tran +3
This paper presents a groundbreaking approach - the first online automatic geometric calibration method for radar and camera systems. Given the significant data sparsity and measur…
Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
Shao-Hao Lu, Ren Wang, Ching-Chun Huang +1
Recently, diffusion-based blind super-resolution (SR) methods have shown great ability to generate high-resolution images with abundant high-frequency detail, but the detail is oft…