activity
20212024
most citedHIPA: Hierarchical Patch Transformer for Single Image Super Resolution

72 citations · 148 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and Resampling

Dong Huo, Zixin Guo, Xinxin Zuo +6

Given a 3D mesh, we aim to synthesize 3D textures that correspond to arbitrary textual descriptions. Current methods for generating and assembling textures from sampled views often…

cs.CV2023★ 6 cited

Learning to Recover Spectral Reflectance from RGB Images

Dong Huo, Jian Wang, Yiming Qian +1

This paper tackles spectral reflectance recovery (SRR) from RGB images. Since capturing ground-truth spectral reflectance and camera spectral sensitivity are challenging and costly…

cs.CV2022★ 70 cited

Glass Segmentation with RGB-Thermal Image Pairs

Dong Huo, Jian Wang, Yiming Qian +1

This paper proposes a new glass segmentation method utilizing paired RGB and thermal images. Due to the large difference between the transmission property of visible light and that…

cs.CV2022★ 72 cited

HIPA: Hierarchical Patch Transformer for Single Image Super Resolution

Qing Cai, Yiming Qian, Jinxing Li +4

Transformer-based architectures start to emerge in single image super resolution (SISR) and have achieved promising performance. Most existing Vision Transformers divide images int…

eess.IV2022

Blind Image Deconvolution Using Variational Deep Image Prior

Dong Huo, Abbas Masoumzadeh, Rafsanjany Kushol +1

Conventional deconvolution methods utilize hand-crafted image priors to constrain the optimization. While deep-learning-based methods have simplified the optimization by end-to-end…

cs.CV2021

Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency

Dong Huo, Abbas Masoumzadeh, Yee-Hong Yang

Many deep learning based methods are designed to remove non-uniform (spatially variant) motion blur caused by object motion and camera shake without knowing the blur kernel. Some m…