activity
20212023
most citedRethinking Alignment in Video Super-Resolution Transformers

35 citations · 57 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV20233 cited

Masked Image Training for Generalizable Deep Image Denoising

Haoyu Chen, Jinjin Gu, Yihao Liu +5

When capturing and storing images, devices inevitably introduce noise. Reducing this noise is a critical task called image denoising. Deep learning has become the de facto method f…

cs.NI2023

SFC Deployment in Space-Air-Ground Integrated Networks Based on Matching Game

Yilu Cao, Ziye Jia, Chao Dong +3

The space-air-ground integrated network (SAGIN) is dynamic and flexible, which can support transmitting data in environments lacking ground communication facilities. However, the n…

cs.CV20237 cited

TextIR: A Simple Framework for Text-based Editable Image Restoration

Yunpeng Bai, Cairong Wang, Shuzhao Xie +3

Most existing image restoration methods use neural networks to learn strong image-level priors from huge data to estimate the lost information. However, these works still struggle…

eess.IV20231 cited

OSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer

Fanghua Yu, Xintao Wang, Mingdeng Cao +3

Omnidirectional images (ODIs) have obtained lots of research interest for immersive experiences. Although ODIs require extremely high resolution to capture details of the entire sc…

cs.CV20237 cited

ITstyler: Image-optimized Text-based Style Transfer

Yunpeng Bai, Jiayue Liu, Chao Dong +1

Text-based style transfer is a newly-emerging research topic that uses text information instead of style image to guide the transfer process, significantly extending the applicatio…

cs.CV20221 cited

PS-NeRV: Patch-wise Stylized Neural Representations for Videos

Yunpeng Bai, Chao Dong, Cairong Wang

We study how to represent a video with implicit neural representations (INRs). Classical INRs methods generally utilize MLPs to map input coordinates to output pixels. While some r…