19 citations · 21 across the 4 of their papers we have counts for
5 papers
Registering Explicit to Implicit: Towards High-Fidelity Garment mesh Reconstruction from Single Images
Heming Zhu, Lingteng Qiu, Yuda Qiu +1
Fueled by the power of deep learning techniques and implicit shape learning, recent advances in single-image human digitalization have reached unprecedented accuracy and could reco…
3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction
Yuda Qiu, Xiaojie Xu, Lingteng Qiu +4
Caricature is an artistic representation that deliberately exaggerates the distinctive features of a human face to convey humor or sarcasm. However, reconstructing a 3D caricature…
Learning Inverse Rendering of Faces from Real-world Videos
Yuda Qiu, Zhangyang Xiong, Kai Han +3
In this paper we examine the problem of inverse rendering of real face images. Existing methods decompose a face image into three components (albedo, normal, and illumination) by s…
Learning Mutually Local-global U-nets For High-resolution Retinal Lesion Segmentation in Fundus Images
Zizheng Yan, Xiaoguang Han, Changmiao Wang +3
Diabetic retinopathy is the most important complication of diabetes. Early diagnosis of retinal lesions helps to avoid visual loss or blindness. Due to high-resolution and small-si…
CaricatureShop: Personalized and Photorealistic Caricature Sketching
Xiaoguang Han, Kangcheng Hou, Dong Du +4
In this paper, we propose the first sketching system for interactively personalized and photorealistic face caricaturing. Input an image of a human face, the users can create caric…