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Found 3 papers, 1 papers with code
Generative Probabilistic Image Colorization
We propose Generative Probabilistic Image Colorization, a diffusion-based generative process that trains a sequence of probabilistic models to reverse each step of noise corruption.
Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations
Our method can predict a 3D pose from 2D joint locations in a single image.
Comicolorization: Semi-Automatic Manga Colorization
By feeding the color features to our deep colorization network, we accomplish colorization of the entire manga using the desired colors for each panel.
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