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Qi Mei

2 accepted papers

2026

Unposed-to-3D: Learning Simulation-Ready Vehicles from Real-World Images

CVPR 2026

Creating realistic and simulation-ready 3D assets is crucial for autonomous driving research and virtual environment construction. However, existing 3D vehicle generation methods are often trained on synthetic data with significant domain gaps from real-world distributions. The generated models ofte

Cited by 0SourcecodeScholar
2025

ProtoCar: Learning 3D Vehicle Prototypes from Single-View and Unconstrained Driving Scene Images

AAAI 2025technical

Reconstructing 3D models from sensor data is a valuable and promising direction for developing testing and validation environments in applications like autonomous driving. However, existing methods for 3D modeling often rely on extensive multi-view data or controlled conditions, making them difficul…

Cited by 0SourcePDFScholar