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20202022
most cited3D-FUTURE: 3D Furniture shape with TextURE

16 citations · 27 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.GR20221 cited

DrawingInStyles: Portrait Image Generation and Editing with Spatially Conditioned StyleGAN

Wanchao Su, Hui Ye, Shu-Yu Chen +2

The research topic of sketch-to-portrait generation has witnessed a boost of progress with deep learning techniques. The recently proposed StyleGAN architectures achieve state-of-t…

cs.GR2021

DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control

Shu-Yu Chen, Feng-Lin Liu, Yu-Kun Lai +4

Recent facial image synthesis methods have been mainly based on conditional generative models. Sketch-based conditions can effectively describe the geometry of faces, including the…

cs.GR20211 cited

A Revisit of Shape Editing Techniques: from the Geometric to the Neural Viewpoint

Yu-Jie Yuan, Yu-Kun Lai, Tong Wu +2

3D shape editing is widely used in a range of applications such as movie production, computer games and computer aided design. It is also a popular research topic in computer graph…

cs.GR20206 cited

Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders

Jie Yang, Lin Gao, Qingyang Tan +3

Deformation component analysis is a fundamental problem in geometry processing and shape understanding. Existing approaches mainly extract deformation components in local regions a…

cs.GR2020

STD-Net: Structure-preserving and Topology-adaptive Deformation Network for 3D Reconstruction from a Single Image

Aihua Mao, Canglan Dai, Lin Gao +2

3D reconstruction from a single view image is a long-standing prob-lem in computer vision. Various methods based on different shape representations(such as point cloud or volumetri…