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Representation complexity in Vision Transformers grows through richer transformations while maintaining strong token interactions, reshaping our understanding of model training dynamics.
A unified benchmark reveals the trade-offs between pixel-wise accuracy and perceptual realism in state-of-the-art image super-resolution techniques.