MV2 is a multi-vehicle driving dataset with 50 scenes and 12,000 images that uses cross-vehicle and aerial-ground splits to show NVS quality falls sharply with viewpoint disparity.
In: CVPR (2024)
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MV2: Multi-View Multi-Vehicle Driving Dataset for Novel View Synthesis
MV2 is a multi-vehicle driving dataset with 50 scenes and 12,000 images that uses cross-vehicle and aerial-ground splits to show NVS quality falls sharply with viewpoint disparity.