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Achieve superior real-world super-resolution by adaptively emphasizing detail during training and refining reconstruction with frequency-aware enhancers, all without retraining.
By explicitly aligning attention with external correspondences, CORAL significantly improves detail preservation in virtual try-on, addressing a key limitation of existing Diffusion Transformer methods.
