no code implementations • 28 Mar 2024 • HUI ZHANG, Sammy Christen, Zicong Fan, Otmar Hilliges, Jie Song
Moreover, we show that our framework can be deployed to different dexterous hands and work with reconstructed or generated objects.
1 code implementation • 25 Mar 2024 • Zicong Fan, Takehiko Ohkawa, Linlin Yang, Nie Lin, Zhishan Zhou, Shihao Zhou, Jiajun Liang, Zhong Gao, Xuanyang Zhang, Xue Zhang, Fei Li, Liu Zheng, Feng Lu, Karim Abou Zeid, Bastian Leibe, Jeongwan On, Seungryul Baek, Aditya Prakash, Saurabh Gupta, Kun He, Yoichi Sato, Otmar Hilliges, Hyung Jin Chang, Angela Yao
We interact with the world with our hands and see it through our own (egocentric) perspective.
no code implementations • 27 Dec 2023 • Enes Duran, Muhammed Kocabas, Vasileios Choutas, Zicong Fan, Michael J. Black
Therefore, we develop a generative motion prior specific for hands, trained on the AMASS dataset which features diverse and high-quality hand motions.
1 code implementation • 30 Nov 2023 • Zicong Fan, Maria Parelli, Maria Eleni Kadoglou, Muhammed Kocabas, Xu Chen, Michael J. Black, Otmar Hilliges
Since humans interact with diverse objects every day, the holistic 3D capture of these interactions is important to understand and model human behaviour.
no code implementations • 7 Sep 2023 • HUI ZHANG, Sammy Christen, Zicong Fan, Luocheng Zheng, Jemin Hwangbo, Jie Song, Otmar Hilliges
ArtiGrasp leverages reinforcement learning and physics simulations to train a policy that controls the global and local hand pose.
1 code implementation • 1 Sep 2022 • Andrea Ziani, Zicong Fan, Muhammed Kocabas, Sammy Christen, Otmar Hilliges
We introduce TempCLR, a new time-coherent contrastive learning approach for the structured regression task of 3D hand reconstruction.
1 code implementation • CVPR 2023 • Zicong Fan, Omid Taheri, Dimitrios Tzionas, Muhammed Kocabas, Manuel Kaufmann, Michael J. Black, Otmar Hilliges
In part this is because there exist no datasets with ground-truth 3D annotations for the study of physically consistent and synchronised motion of hands and articulated objects.
no code implementations • 23 Sep 2021 • Korrawe Karunratanakul, Adrian Spurr, Zicong Fan, Otmar Hilliges, Siyu Tang
We present Hand ArticuLated Occupancy (HALO), a novel representation of articulated hands that bridges the advantages of 3D keypoints and neural implicit surfaces and can be used in end-to-end trainable architectures.
1 code implementation • 1 Jul 2021 • Zicong Fan, Adrian Spurr, Muhammed Kocabas, Siyu Tang, Michael J. Black, Otmar Hilliges
In natural conversation and interaction, our hands often overlap or are in contact with each other.
Ranked #7 on 3D Interacting Hand Pose Estimation on InterHand2.6M
no code implementations • 29 Nov 2019 • Zicong Fan, Si Yi Meng, Leonid Sigal, James J. Little
The problem of language grounding has attracted much attention in recent years due to its pivotal role in more general image-lingual high level reasoning tasks (e. g., image captioning, VQA).