lettherebecolor

Abstract:Wepresentanoveltechniquetoautomaticallycolorizegrayscaleimagesthatcombinesbothglobalpriorsandlocalimagefeatures.,Colorizationmodelstakeasinputablackandwhiteimageandproduceanimageincolor.Inthispa-per,wedefinecolorizationasaregressionand ...,Wepresentanoveltechniquetoautomaticallycolorizegrayscaleimagesthatcombinesbothglobalpriorsandlocalimagefeatures.,Welearntoautomaticallycolorgraysca...

參考資訊如下
Let there be Color!: Joint End-to

Abstract: We present a novel technique to automatically colorize grayscale images that combines both global priors and local image features.

Let There Be Color

Colorization models take as input a black and white image and produce an image in color. In this pa- per, we define colorization as a regression and ...

Let there be color!: joint end-to

We present a novel technique to automatically colorize grayscale images that combines both global priors and local image features.

Code for the paper 'Let there be Color!: Joint End-to

We learn to automatically color grayscale images with a deep network. Our network learns both local features and global features jointly in a single framework.

Let There Be Color! Large

由 M Waechter 著作 · 2014 · 被引用 413 次 — Our method addresses most challenges occurring in such reconstructions: the large number of input images, their drastically varying properties such as image ...