Abstract: Provided are a disparity estimation method and apparatus, an image processing device, and a storage medium. The method includes: processing input images based on a first network model to obtain a direct cost volume of the input images, where the input images include a first image and a second image, and the first network model includes a convolutional neural network, a pyramid convolutional network, and a spatial pyramid pooling layer; processing the input images based on a second network model to obtain an associated cost volume of the input images, where the second network model includes a residual network; determining an estimated cost of the input images according to the associated cost volume and the direct cost volume; and calculating an estimated disparity corresponding to the first image and the second image according to the estimated cost.

Abstract: Provided are a disparity estimation method and apparatus, an image processing device, and a storage medium. The method includes: processing input images based on a first network model to obtain a direct cost volume of the input images, where the input images include a first image and a second image, and the first network model includes a convolutional neural network, a pyramid convolutional network, and a spatial pyramid pooling layer; processing the input images based on a second network model to obtain an associated cost volume of the input images, where the second network model includes a residual network; determining an estimated cost of the input images according to the associated cost volume and the direct cost volume; and calculating an estimated disparity corresponding to the first image and the second image according to the estimated cost.