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Tongji University
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Orthogonalized optimization with the Muon optimizer can significantly boost adversarial robustness, outperforming AdamW on both CNNs and ViTs, highlighting the importance of optimizer geometry in security-critical training.
Transient distractions can severely degrade scene reconstruction, but MU-GeNeRF effectively mitigates their impact, achieving results on par with specialized methods.