Our data generation procedure leverages a Blender-based rendering pipeline, which loads 3D mesh assets into a scene and normalizes them to fit within a unit cube.
We incorporated a diverse range of camera placements and settings, which allows us to capture projective geometry variability, reflecting real-world capture scenarios more accurately.
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