Awesome
POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery
The project is an official implementation of our paper POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery, CVPR 2023.
News :triangular_flag_on_post:
Please check image_classification folder for Image Classification Part (Section 4.1 in our paper) and human_mesh_recovery folder for Human Mesh Recovery Part.
Experiments
<p align="center"> <img src="./img/w1.png"> <img src="./img/w2.png"> </p>Visualizations
<p align="center"> <img src="./img/w3.png"> </p>Citing
If our code helps your research, please consider citing the following paper:
@inproceedings{zheng2023potter,
title={POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery},
author={Zheng, Ce and Liu, Xianpeng and Qi, Guo-Jun and Chen, Chen},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year={2023}
}
@inproceedings{zheng2023feater,
title={FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER},
author={Zheng, Ce and Mendieta, Matias and Yang, Taojiannan and Qi, Guo-Jun and Chen, Chen},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year={2023}
}