34 citations · 35 across the 10 of their papers we have counts for
10 papers
YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency
Hansen Feng, Lizhi Wang, Yiqi Huang +3
The rapid advancement of photography has created a growing demand for a practical blind raw image denoising method. Recently, learning-based methods have become mainstream due to t…
PDE: Gene Effect Inspired Parameter Dynamic Evolution for Low-light Image Enhancement
Tong Li, Lizhi Wang, Hansen Feng +2
Low-light image enhancement (LLIE) is a fundamental task in computational photography, aiming to improve illumination, reduce noise, and enhance image quality. While recent advance…
APG-MOS: Auditory Perception Guided-MOS Predictor for Synthetic Speech
Zhicheng Lian, Lizhi Wang, Hua Huang
Automatic speech quality assessment aims to quantify subjective human perception of speech through computational models to reduce the need for labor-consuming manual evaluations. W…
Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction
Lin Zhu, Yunlong Zheng, Yijun Zhang +3
Event-based video reconstruction has garnered increasing attention due to its advantages, such as high dynamic range and rapid motion capture capabilities. However, current methods…
Diffusion-Promoted HDR Video Reconstruction
Yuanshen Guan, Ruikang Xu, Mingde Yao +3
High dynamic range (HDR) video reconstruction aims to generate HDR videos from low dynamic range (LDR) frames captured with alternating exposures. Most existing works solely rely o…
SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream
Lin Zhu, Kangmin Jia, Yifan Zhao +3
Spike cameras, leveraging spike-based integration sampling and high temporal resolution, offer distinct advantages over standard cameras. However, existing approaches reliant on sp…