Abstract
Generative models are extremely powerful tools to synthesize new images as well as perform various image manipulation tasks. In this project, we study the recent literature on generative modelling and apply them to a variety of image manipulation tasks useful for computer vision applications.
Publications
DGPose: Deep Generative Models for Human Body Analysis.
Rodrigo de Bem, Arnab Ghosh,
Thalaiyasingam Ajanthan, Ondrej Miksik, Adnane Boukhayma, N. Siddharth, Philip H.S. Torr.
International Journal of Computer Vision (IJCV), April 2020.
[
pdf]
[
arxiv]
[
bib]
@article{debem_dgpose_ijcv2020,
title={{DGPose:} Deep Generative Models for Human Body Analysis.},
author={De Bem, Rodrigo and Ghosh, Arnab and Ajanthan, Thalaiyasingam and Miksik, Ondrej and Boukhayma, Adnane and Narayanaswamy, Siddharth and Torr, Philip HS},
journal={IJCV},
year={2020}
}
A Conditional Deep Generative Model of People in Natural Images.
Rodrigo de Bem, Arnab Ghosh, Adnane Boukhayma,
Thalaiyasingam Ajanthan, N. Siddharth, Philip H.S. Torr.
Winter Conference on Applications of Computer Vision (WACV), January 2019.
[
pdf]
[
bib]
@article{debem_dgpose_wacv2019,
title={A Conditional Deep Generative Model of People in Natural Images},
author={De Bem, Rodrigo and Ghosh, Arnab and Boukhayma, Adnane and Ajanthan, Thalaiyasingam and and Narayanaswamy, Siddharth and Torr, Philip HS},
journal={WACV},
year={2019}
}
A Semi-supervised Deep Generative Model for Human Body Analysis.
Rodrigo de Bem, Arnab Ghosh,
Thalaiyasingam Ajanthan, Ondrej Miksik, N. Siddharth, Philip H.S. Torr.
ECCV Workshop on Human Behaviour Understanding, September 2018.
(oral)
[
pdf]
[
bib]
@article{debem_dgpose_eccv2018,
title={A Semi-supervised Deep Generative Model for Human Body Analysis},
author={De Bem, Rodrigo and Ghosh, Arnab and Ajanthan, Thalaiyasingam and Miksik, Ondrej and Narayanaswamy, Siddharth and Torr, Philip HS},
journal={ECCV Workshop on Human Behaviour Understanding},
year={2018}
}