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MoE Key Lab of Artificial Intelligence, AI Institute, School of Computer Science
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MS-GPT redefines molecular structure elucidation, achieving unprecedented accuracy by leveraging spectrum-induced posterior querying in a language model framework.
HiFiVe achieves unprecedented texture and geometric fidelity in vehicle generation, overcoming the limitations of fixed viewpoints and costly fine-tuning.
3DCarGen achieves robust geometric consistency and high-fidelity 3D vehicle reconstruction from a single image, setting a new standard for autonomous driving simulations.
MM-TRELLIS achieves unprecedented fidelity in 3D vehicle generation by seamlessly integrating multi-view images and LiDAR data, outperforming existing methods in real-world scenarios.
Achieve real-time embodied manipulation with large 3D vision models using a novel asynchronous architecture that boosts success rates by up to 51.4% while simultaneously reducing inference time.
