no code implementations • 19 Jan 2024 • Chaitanya Patel, Shaojie Bai, Te-Li Wang, Jason Saragih, Shih-En Wei
In this work, we first show that the domain gap between the avatar and headset-camera images is one of the primary sources of difficulty, where a transformer-based architecture achieves high accuracy on domain-consistent data, but degrades when the domain-gap is re-introduced.
no code implementations • 19 Nov 2021 • Chaitanya Patel, Shashank Sharma, Valerie J. Pasquarella, Varun Gulshan
We find that such techniques significantly improve generalization performance when labeled data is limited and there are geographic domain shifts between the training data and the validation/test data.
2 code implementations • CVPR 2020 • Chaitanya Patel, Zhouyingcheng Liao, Gerard Pons-Moll
While the low-frequency component is predicted from pose, shape and style parameters with an MLP, the high-frequency component is predicted with a mixture of shape-style specific pose models.
2 code implementations • 19 Aug 2019 • Abbhinav Venkat, Chaitanya Patel, Yudhik Agrawal, Avinash Sharma
3D Human Body Reconstruction from a monocular image is an important problem in computer vision with applications in virtual and augmented reality platforms, animation industry, en-commerce domain, etc.