Adaptive Modulation and Rectangular Convolutional Network for Stereo Image Super-Resolution

Xiumei Wang, Tianmeng Li, Zheng Hui, Peitao Cheng

Abstract: Highlights•We propose a novel network for better stereo image super-resolution.•We propose an adaptive modulation alignment mechanism to modulate the aligned features.•We add rectangular convolutional layers to expand the receptive field along the disparity epipolar line.•Experimental results show that our method outperforms other state-of-the-art methods on the three stereo benchmarks.