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SPARK: Input-Conditioned Sparse Activation Modulation for Frozen DiT-based Super-Resolution
Real-world image super-resolution (SR) increasingly relies on Diffusion Transformer (DiT) backbones, whose internal activations can be dominated by a small number of massive channels. Yet improving perceptual quality in these models still typically requires fine-tuning the network or attaching addit
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