Workshop
3D Digital Twin: Progress, Challenges, and Future Directions
Zhao Dong · Zhaoyang Lv · Zhengqin Li · Jiajun Wu · Hao Su · Manmohan Chandraker · Kalyan Sunkavalli · Jia Deng · Shuang Zhao · Lingjie Liu · Jerome Revaud · Hong-Xing Yu · Yunzhi Zhang · Leonidas Guibas
102 B
Thu 12 Jun, 6:30 a.m. PDT
Keywords: 3D Capture and Reconstruction
Despite the growing momentum around 3D reconstruction and generative AI in computer vision, a critical gap remains: how to create photorealistic, fully functional 3D digital twins that are indistinguishable from their real-world counterparts and enable practical applications. This workshop tackles that challenge by spotlighting 3D digital twin creation technologies and their broad impact across AR/VR, spatial and contextual AI, and robotics. Distinguished speakers from diverse disciplines will share cutting-edge digital twin creation techniques and real-world use cases. Additionally, we are excited to launch a benchmark and challenge for 3D digital twin creation, built on our Digital Twin Catalog (DTC) dataset and supported by open-source baselines. This initiative aims to spark meaningful discussion, foster collaboration, and accelerate progress in both academic research and practical deployment.
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