1 citations · 1 across the 6 of their papers we have counts for
6 papers
Depth-Synergized Mamba Meets Memory Experts for All-Day Image Reflection Separation
Siyan Fang, Long Peng, Yuntao Wang +2
Image reflection separation aims to disentangle the transmission layer and the reflection layer from a blended image. Existing methods rely on limited information from a single ima…
Data-free Knowledge Distillation with Diffusion Models
Xiaohua Qi, Renda Li, Long Peng +6
Recently Data-Free Knowledge Distillation (DFKD) has garnered attention and can transfer knowledge from a teacher neural network to a student neural network without requiring any a…
Dropout the High-rate Downsampling: A Novel Design Paradigm for UHD Image Restoration
Chen Wu, Ling Wang, Long Peng +2
With the popularization of high-end mobile devices, Ultra-high-definition (UHD) images have become ubiquitous in our lives. The restoration of UHD images is a highly challenging pr…
Multi-Scale Representation Learning for Image Restoration with State-Space Model
Yuhong He, Long Peng, Qiaosi Yi +2
Image restoration endeavors to reconstruct a high-quality, detail-rich image from a degraded counterpart, which is a pivotal process in photography and various computer vision syst…
Dual-Path Coupled Image Deraining Network via Spatial-Frequency Interaction
Yuhong He, Aiwen Jiang, Lingfang Jiang +2
Transformers have recently emerged as a significant force in the field of image deraining. Existing image deraining methods utilize extensive research on self-attention. Though sho…
Latent Degradation Representation Constraint for Single Image Deraining
Yuhong He, Long Peng, Lu Wang +1
Since rain streaks show a variety of shapes and directions, learning the degradation representation is extremely challenging for single image deraining. Existing methods are mainly…