activity
20172024
most citedImproving Heterogeneous Face Recognition with Conditional Adversarial Networks

12 citations · 38 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CV20217 cited

Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN

Badour AlBahar, Jingwan Lu, Jimei Yang +3

We present an algorithm for re-rendering a person from a single image under arbitrary poses. Existing methods often have difficulties in hallucinating occluded contents photo-reali…

cs.CV20215 cited

FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation

ShahRukh Athar, Zhixin Shu, Dimitris Samaras

This paper presents a neural rendering method for controllable portrait video synthesis. Recent advances in volumetric neural rendering, such as neural radiance fields (NeRF), has…

cs.CV202112 cited

Single-image Full-body Human Relighting

Manuel Lagunas, Xin Sun, Jimei Yang +5

We present a single-image data-driven method to automatically relight images with full-body humans in them. Our framework is based on a realistic scene decomposition leveraging pre…

cs.CV20212 cited

Content-Aware GAN Compression

Yuchen Liu, Zhixin Shu, Yijun Li +3

Generative adversarial networks (GANs), e.g., StyleGAN2, play a vital role in various image generation and synthesis tasks, yet their notoriously high computational cost hinders th…

cs.CV2020

Learning Clusterable Visual Features for Zero-Shot Recognition

Jingyi Xu, Zhixin Shu, Dimitris Samaras

In zero-shot learning (ZSL), conditional generators have been widely used to generate additional training features. These features can then be used to train the classifiers for tes…

cs.CV2019

Self-supervised Deformation Modeling for Facial Expression Editing

ShahRukh Athar, Zhixin Shu, Dimitris Samaras

Recent advances in deep generative models have demonstrated impressive results in photo-realistic facial image synthesis and editing. Facial expressions are inherently the result o…