… functions have also been incorporated into previous intrinsic image decomposition work [16…
For present purposes here, this loss is appealing, since the input image just needs a single …

… image estimation algorithms. We applied a state-of-the-art multi-image intrinsic image
decomposition … This method fails to produce decomposition results suitable for training due to …

… The work in [2] describes a novel image compression algorithm based on image decomposition
to … In this paper, we focus on the same decomposition problem—texture and natural (…

… In this paper, we propose a new model for image restoration and image decomposition into
cartoon and texture, based on the total variation minimization of Rudin, Osher, and Fatemi […

… This paper explores various aspects of the image decomposition problem using modern
variational techniques. We aim at splitting an original image f into two components u and v, …

… We propose a novel non-linear image decomposition that effec… local image oscillations by
considering local image extrema. A … decomposition by recursively smoothing the image while …

… Then we perform intrinsic image decomposition through content preserving image … single
image unsupervised intrinsic image decomposition. The key idea is that the natural image, the …

… and transmission layers); Image dehazing (separation into a clear image and a haze map), …
unsupervised layer decomposition of a single image, based on coupled “Deep-image-Prior” (…

… for intrinsic decomposition of RGB-D images. Our approach analyzes a single RGB-D image
… By decomposing the shading field, we can build in assumptions about image formation that …

… to propose a color image decomposition model using TV minimization for color images. This
… We introduce a functional whose minimizers correspond to the color image decomposition, …