activity
20182025
most citedNeuralReshaper: Single-image Human-body Retouching with Deep Neural Networks

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GR2025

Shape Adaptation for 3D Hairstyle Retargeting

Lu Yu, Zhong Ren, Youyi Zheng +2

It is demanding to author an existing hairstyle for novel characters in games and VR applications. However, it is a non-trivial task for artists due to the complicated hair geometr…

cs.CV2022★ 4 cited

NeuralReshaper: Single-image Human-body Retouching with Deep Neural Networks

Beijia Chen, Yuefan Shen, Hongbo Fu +3

In this paper, we present NeuralReshaper, a novel method for semantic reshaping of human bodies in single images using deep generative networks. To achieve globally coherent reshap…

eess.IV2021★ 1 cited

A Deep Discontinuity-Preserving Image Registration Network

Xiang Chen, Nishant Ravikumar, Yan Xia +1

Image registration aims to establish spatial correspondence across pairs, or groups of images, and is a cornerstone of medical image computing and computer-assisted-interventions.…

eess.IV2021★ 1 cited

CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning

Xiang Chen, Yan Xia, Nishant Ravikumar +1

Image registration is a fundamental building block for various applications in medical image analysis. To better explore the correlation between the fixed and moving images and imp…

cs.CV2018

Learning color space adaptation from synthetic to real images of cirrus clouds

Qing Lyu, Minghao Chen, Xiang Chen

Cloud segmentation plays a crucial role in image analysis for climate modeling. Manually labeling the training data for cloud segmentation is time-consuming and error-prone. We exp…