1 citations · 1 across the 6 of their papers we have counts for
6 papers
LoTA-N2N: Local Trace Adaptation for Zero-Shot Self-Supervised Image Denoising
Jintong Hu, Bin Xia, Junlin Liu +2
Single-image self-supervised denoising replaces unavailable clean targets with surrogate targets constructed from noisy observations. Its effectiveness therefore depends on how clo…
InstaVSR: Taming Diffusion for Efficient and Temporally Consistent Video Super-Resolution
Jintong Hu, Bin Chen, Zhenyu Hu +3
Video super-resolution (VSR) seeks to reconstruct high-resolution frames from low-resolution inputs. While diffusion-based methods have substantially improved perceptual quality, e…
GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolution
Jintong Hu, Bin Xia, Bin Chen +2
Implicit neural representations (INRs) have significantly advanced the field of arbitrary-scale super-resolution (ASSR) of images. Most existing INR-based ASSR networks first extra…
Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields
Jintong Hu, Siyan Chen, Zhiyi Pan +2
Precise segmentation of medical images is fundamental for extracting critical clinical information, which plays a pivotal role in enhancing the accuracy of diagnoses, formulating e…
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.…
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…