deep learning

Input-level Inductive Biases for 3D Reconstruction
We incorporate inductive biases useful for multiple view geometry into this generalist model without having to touch its architecture, by instead encoding them directly as additional inputs.
Blind Image Super-Resolution with Spatially Variant Degradations
We propose a novel approach for single image super-resolution to simultaneously predict high resolution images and the degradation kernels.