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Stop punishing your model for disagreeing with corrupted data – Trust-SSL learns better representations by treating alignment with degraded views as a residual learning problem, not a hard constraint.
A unified benchmark reveals the trade-offs between pixel-wise accuracy and perceptual realism in state-of-the-art image super-resolution techniques.
