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A teacher-student framework reveals that leveraging privileged target appearances can dramatically enhance tracking accuracy, closing a critical performance gap.
Transforming image quality assessment from a single score to a nuanced diagnosis of multiple quality issues could revolutionize smartphone ISP tuning.
CanonicalGS achieves a remarkable 2.5 dB improvement in novel view synthesis quality by stabilizing scene representations against noisy input data.
