most citedPose Guided Fashion Image Synthesis Using Deep Generative Model

8 citations · 16 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2020

Skinning a Parameterization of Three-Dimensional Space for Neural Network Cloth

Jane Wu, Zhenglin Geng, Hui Zhou +1

We present a novel learning framework for cloth deformation by embedding virtual cloth into a tetrahedral mesh that parametrizes the volumetric region of air surrounding the underl…

cs.LG2020★ 1 cited

Imitation Learning for Fashion Style Based on Hierarchical Multimodal Representation

Shizhu Liu, Shanglin Yang, Hui Zhou

Fashion is a complex social phenomenon. People follow fashion styles from demonstrations by experts or fashion icons. However, for machine agent, learning to imitate fashion expert…

cs.CV2020★ 3 cited

Recovering Geometric Information with Learned Texture Perturbations

Jane Wu, Yongxu Jin, Zhenglin Geng +2

Regularization is used to avoid overfitting when training a neural network; unfortunately, this reduces the attainable level of detail hindering the ability to capture high-frequen…

cs.CV2019★ 4 cited

3D Virtual Garment Modeling from RGB Images

Yi Xu, Shanglin Yang, Wei Sun +3

We present a novel approach that constructs 3D virtual garment models from photos. Unlike previous methods that require photos of a garment on a human model or a mannequin, our app…

cs.CV2019★ 8 cited

Pose Guided Fashion Image Synthesis Using Deep Generative Model

Wei Sun, Jawadul H. Bappy, Shanglin Yang +3

Generating a photorealistic image with intended human pose is a promising yet challenging research topic for many applications such as smart photo editing, movie making, virtual tr…