ToĪddress these issues, we propose a Hybrid Transformer and CNN Attention Network Second, the performance of transformers is typically reliant on sufficientĭata, which is absent in common stereo-image super-resolution algorithms. Unable to leverage the complementary stereo information during the process Two key factors: first, current single-image super-resolution transformers are Super-resolution tasks, they have not yet shown significant advantages overĬNN-based methods in stereo super-resolution tasks. While transformer-based methods have exhibited high efficiency in single-image Download a PDF of the paper titled Hybrid Transformer and CNN Attention Network for Stereo Image Super-resolution, by Ming Cheng and 9 other authors Download PDF Abstract: Multi-stage strategies are frequently employed in image restoration tasks.
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