Abstract: Techniques related to interpolating an intermediate view image from multi-view images are discussed. Such techniques include downsampling first and second images that represent a view of a scene, generating a disparity map based on applying a first CNN to the downscaled first and second images, translating the downscaled first and second images using the disparity map, applying a second CNN to the translated downscaled first and second images and the disparity map to generate a downscaled intermediate image, and upscaling the downscaled intermediate image to an intermediate image at the resolution of the first and second images using an image super-resolution convolutional neural network.

Abstract: Techniques related to interpolating an intermediate view image from multi-view images are discussed. Such techniques include downsampling first and second images that represent a view of a scene, generating a disparity map based on applying a first CNN to the downscaled first and second images, translating the downscaled first and second images using the disparity map, applying a second CNN to the translated downscaled first and second images and the disparity map to generate a downscaled intermediate image, and upscaling the downscaled intermediate image to an intermediate image at the resolution of the first and second images using an image super-resolution convolutional neural network.

Abstract: Techniques related to interpolating an intermediate view image from multi-view images are discussed. Such techniques include downsampling first and second images that represent a view of a scene, generating a disparity map based on applying a first CNN to the downscaled first and second images, translating the downscaled first and second images using the disparity map, applying a second CNN to the translated downscaled first and second images and the disparity map to generate a downscaled intermediate image, and upscaling the downscaled intermediate image to an intermediate image at the resolution of the first and second images using an image super-resolution convolutional neural network.

Abstract: Techniques related to interpolating an intermediate view image from multi-view images are discussed. Such techniques include downsampling first and second images that represent a view of a scene, generating a disparity map based on applying a first CNN to the downscaled first and second images, translating the downscaled first and second images using the disparity map, applying a second CNN to the translated downscaled first and second images and the disparity map to generate a downscaled intermediate image, and upscaling the downscaled intermediate image to an intermediate image at the resolution of the first and second images using an image super-resolution convolutional neural network.