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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 faster and more accurate remote sensing interpretation by intelligently pruning visual tokens based on task-specific semantic and geometric importance, without any training.
MLLMs struggle to effectively zoom into relevant details in ultra-high-resolution remote sensing imagery, but a new staged training framework can teach them when and where to focus for substantial accuracy gains.
