196 citations · 356 across the 23 of their papers we have counts for
7 papers · 1 filter
Intriguing Findings of Frequency Selection for Image Deblurring
Xintian Mao, Yiming Liu, Fengze Liu +3
Blur was naturally analyzed in the frequency domain, by estimating the latent sharp image and the blur kernel given a blurry image. Recent progress on image deblurring always desig…
Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation
Qiusheng Huang, Zhilin Zheng, Xueqi Hu +2
The image-to-image translation (I2IT) model takes a target label or a reference image as the input, and changes a source into the specified target domain. The two types of synthesi…
LSC-GAN: Latent Style Code Modeling for Continuous Image-to-image Translation
Qiusheng Huang, Xueqi Hu, Li Sun +1
Image-to-image (I2I) translation is usually carried out among discrete domains. However, image domains, often corresponding to a physical value, are usually continuous. In other wo…
Angel's Girl for Blind Painters: an Efficient Painting Navigation System Validated by Multimodal Evaluation Approach
Hang Liu, Menghan Hu, Yuzhen Chen +5
For people who ardently love painting but unfortunately have visual impairments, holding a paintbrush to create a work is a very difficult task. People in this special group are ea…
TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation
Yao Chang, Hu Menghan, Zhai Guangtao +1
In recent years, computer-aided diagnosis has become an increasingly popular topic. Methods based on convolutional neural networks have achieved good performance in medical image s…
ID-Unet: Iterative Soft and Hard Deformation for View Synthesis
Mingyu Yin, Li Sun, Qingli Li
View synthesis is usually done by an autoencoder, in which the encoder maps a source view image into a latent content code, and the decoder transforms it into a target view image a…
SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation
Boxiang Yun, Yan Wang, Jieneng Chen +3
Hyperspectral imaging (HSI) unlocks the huge potential to a wide variety of applications relied on high-precision pathology image segmentation, such as computational pathology and…