activity
20212024
most citedOn Efficient Transformer-Based Image Pre-training for Low-Level Vision

26 citations · 35 across the 7 of their papers we have counts for

collaborators

5 papers

cs.CV20231 cited

Texture Generation on 3D Meshes with Point-UV Diffusion

Xin Yu, Peng Dai, Wenbo Li +3

In this work, we focus on synthesizing high-quality textures on 3D meshes. We present Point-UV diffusion, a coarse-to-fine pipeline that marries the denoising diffusion model with…

cs.CV2023

NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer

Kun Zhou, Wenbo Li, Yi Wang +4

Neural radiance fields (NeRF) show great success in novel view synthesis. However, in real-world scenes, recovering high-quality details from the source images is still challenging…

cs.AR20237 cited

A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU

Wenqian Zhao, Qi Sun, Yang Bai +4

Recent years have witnessed impressive progress in super-resolution (SR) processing. However, its real-time inference requirement sets a challenge not only for the model design but…

cs.CV20221 cited

Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing

Xin Yu, Peng Dai, Wenbo Li +4

With the rapid development of mobile devices, modern widely-used mobile phones typically allow users to capture 4K resolution (i.e., ultra-high-definition) images. However, for ima…

cs.CV202126 cited

On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Wenbo Li, Xin Lu, Shengju Qian +3

Pre-training has marked numerous state of the arts in high-level computer vision, while few attempts have ever been made to investigate how pre-training acts in image processing sy…