most citedVmambaIR: Visual State Space Model for Image Restoration

8 citations · 22 across the 12 of their papers we have counts for

collaborators

12 papers

eess.IV20241 cited

Residual Dense Swin Transformer for Continuous Depth-Independent Ultrasound Imaging

Jintong Hu, Hui Che, Zishuo Li +1

Ultrasound imaging is crucial for evaluating organ morphology and function, yet depth adjustment can degrade image quality and field-of-view, presenting a depth-dependent dilemma.…

eess.IV2024

Low-Trace Adaptation of Zero-shot Self-supervised Blind Image Denoising

Jintong Hu, Bin Xia, Bingchen Li +1

Deep learning-based denoiser has been the focus of recent development on image denoising. In the past few years, there has been increasing interest in developing self-supervised de…

cs.CV20248 cited

VmambaIR: Visual State Space Model for Image Restoration

Yuan Shi, Bin Xia, Xiaoyu Jin +5

Image restoration is a critical task in low-level computer vision, aiming to restore high-quality images from degraded inputs. Various models, such as convolutional neural networks…

cs.CV20243 cited

VastGaussian: Vast 3D Gaussians for Large Scene Reconstruction

Jiaqi Lin, Zhihao Li, Xiao Tang +8

Existing NeRF-based methods for large scene reconstruction often have limitations in visual quality and rendering speed. While the recent 3D Gaussian Splatting works well on small-…

cs.CV2024

DiffVein: A Unified Diffusion Network for Finger Vein Segmentation and Authentication

Yanjun Liu, Wenming Yang, Qingmin Liao

Finger vein authentication, recognized for its high security and specificity, has become a focal point in biometric research. Traditional methods predominantly concentrate on vein…

q-bio.BM20242 cited

Binding-Adaptive Diffusion Models for Structure-Based Drug Design

Zhilin Huang, Ling Yang, Zaixi Zhang +6

Structure-based drug design (SBDD) aims to generate 3D ligand molecules that bind to specific protein targets. Existing 3D deep generative models including diffusion models have sh…