activity
20192021
most citedRethinking Spatially-Adaptive Normalization

15 citations · 55 across the 7 of their papers we have counts for

collaborators

14 papers

cs.LG2021

DisUnknown: Distilling Unknown Factors for Disentanglement Learning

Sitao Xiang, Yuming Gu, Pengda Xiang +4

Disentangling data into interpretable and independent factors is critical for controllable generation tasks. With the availability of labeled data, supervision can help enforce the…

cs.CV20213 cited

Flow Guided Transformable Bottleneck Networks for Motion Retargeting

Jian Ren, Menglei Chai, Oliver J. Woodford +2

Human motion retargeting aims to transfer the motion of one person in a "driving" video or set of images to another person. Existing efforts leverage a long training video from eac…

cs.CV2021

A Good Image Generator Is What You Need for High-Resolution Video Synthesis

Yu Tian, Jian Ren, Menglei Chai +4

Image and video synthesis are closely related areas aiming at generating content from noise. While rapid progress has been demonstrated in improving image-based models to handle la…

cs.CV2021

Exemplar-Based 3D Portrait Stylization

Fangzhou Han, Shuquan Ye, Mingming He +2

Exemplar-based portrait stylization is widely attractive and highly desired. Despite recent successes, it remains challenging, especially when considering both texture and geometri…

cs.CV2021

Motion Representations for Articulated Animation

Aliaksandr Siarohin, Oliver J. Woodford, Jian Ren +2

We propose novel motion representations for animating articulated objects consisting of distinct parts. In a completely unsupervised manner, our method identifies object parts, tra…

cs.CV20215 cited

Diverse Semantic Image Synthesis via Probability Distribution Modeling

Zhentao Tan, Menglei Chai, Dongdong Chen +5

Semantic image synthesis, translating semantic layouts to photo-realistic images, is a one-to-many mapping problem. Though impressive progress has been recently made, diverse seman…