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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

Human Action Transfer Based on 3D Model Reconstruction

February 1, 2023

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Authors

Shanyan Guan

Shanghai Jiao Tong University


Shuo Wen

Shanghai Jiao Tong University


Dexin Yang

Shanghai Jiao Tong University


Bingbing Ni

Shanghai Jiao Tong University


Wendong Zhang

Shanghai Jiao Tong University


Jun Tang

Shanghai Jiao Tong University


Xiaokang Yang

Shanghai Jiao Tong University


DOI:

10.1609/aaai.v33i01.33018352


Abstract:

We present a practical and effective method for human action transfer. Given a sequence of source action and limited target information, we aim to transfer motion from source to target. Although recent works based on GAN or VAE achieved impressive results for action transfer in 2D, there still exists a lot of problems which cannot be avoided, such as distorted and discontinuous human body shape, blurry cloth texture and so on. In this paper, we try to solve these problems in a novel 3D viewpoint. On the one hand, we design a skeleton-to-3D-mesh generator to generate the 3D model, which achieves huge improvement on appearance reconstruction. Furthermore, we add a temporal connection to improve the smoothness of the model. On the other hand, instead of directly utilizing the image in RGB space, we transform the target appearance information into UV space for further pose transformation. Specially, unlike conventional graphics render method directly projects visible pixels to UV space, our transformation is according to pixel’s semantic information. We perform experiments on Human3.6M and HumanEva-I to evaluate the performance of pose generator. Both qualitative and quantitative results show that our method outperforms methods based on generation method in 2D. Additionally, we compare our render method with graphic methods on Human3.6M and People-snapshot. The comparison results show that our render method is more robust and effective.

Topics: AAAI

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HOW TO CITE:

Shanyan Guan||Shuo Wen||Dexin Yang||Bingbing Ni||Wendong Zhang||Jun Tang||Xiaokang Yang Human Action Transfer Based on 3D Model Reconstruction Proceedings of the AAAI Conference on Artificial Intelligence (2019) 8352-8359.

Shanyan Guan||Shuo Wen||Dexin Yang||Bingbing Ni||Wendong Zhang||Jun Tang||Xiaokang Yang Human Action Transfer Based on 3D Model Reconstruction AAAI 2019, 8352-8359.

Shanyan Guan||Shuo Wen||Dexin Yang||Bingbing Ni||Wendong Zhang||Jun Tang||Xiaokang Yang (2019). Human Action Transfer Based on 3D Model Reconstruction. Proceedings of the AAAI Conference on Artificial Intelligence, 8352-8359.

Shanyan Guan||Shuo Wen||Dexin Yang||Bingbing Ni||Wendong Zhang||Jun Tang||Xiaokang Yang. Human Action Transfer Based on 3D Model Reconstruction. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.8352-8359.

Shanyan Guan||Shuo Wen||Dexin Yang||Bingbing Ni||Wendong Zhang||Jun Tang||Xiaokang Yang. 2019. Human Action Transfer Based on 3D Model Reconstruction. "Proceedings of the AAAI Conference on Artificial Intelligence". 8352-8359.

Shanyan Guan||Shuo Wen||Dexin Yang||Bingbing Ni||Wendong Zhang||Jun Tang||Xiaokang Yang. (2019) "Human Action Transfer Based on 3D Model Reconstruction", Proceedings of the AAAI Conference on Artificial Intelligence, p.8352-8359

Shanyan Guan||Shuo Wen||Dexin Yang||Bingbing Ni||Wendong Zhang||Jun Tang||Xiaokang Yang, "Human Action Transfer Based on 3D Model Reconstruction", AAAI, p.8352-8359, 2019.

Shanyan Guan||Shuo Wen||Dexin Yang||Bingbing Ni||Wendong Zhang||Jun Tang||Xiaokang Yang. "Human Action Transfer Based on 3D Model Reconstruction". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.8352-8359.

Shanyan Guan||Shuo Wen||Dexin Yang||Bingbing Ni||Wendong Zhang||Jun Tang||Xiaokang Yang. "Human Action Transfer Based on 3D Model Reconstruction". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 8352-8359.

Shanyan Guan||Shuo Wen||Dexin Yang||Bingbing Ni||Wendong Zhang||Jun Tang||Xiaokang Yang. Human Action Transfer Based on 3D Model Reconstruction. AAAI[Internet]. 2019[cited 2023]; 8352-8359.


ISSN: 2374-3468


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