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Eliminating the need for per-scene optimization, this method boosts 3D model performance while enhancing visual fidelity and spatial consistency.
By fusing confidence-weighted point cloud projections with a Kalman-inspired update mechanism, ConfCtrl enables diffusion models to generate geometrically consistent novel views from sparse inputs, even under significant viewpoint shifts.
