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Abstract:Given a grayscale photograph as input, this paper attacks the problem of hallucinating a plausible color version of the photograph.

【标题】Colorful Image Colorization 是一个利用Python实现的彩色图像着色技术项目，旨在将黑白图像转换为色彩丰富的图像。这个项目基于深度学习算法， ...

Automatic colorization functionality for Real-Time User-Guided Image Colorization with Learned Deep Priors, SIGGRAPH 2017!

This repository contains a PyTorch implementation of the Colorful Image Colorization paper by Zhang et al., 2016. Some changes were made, namely:.

給定一個輸入 L (lightness)通道 X ∈ R H×W×1，目標是學習到對應a、b通道 Y ∈ R H×W×2 的預測結果 Y ^ = F ( X ) 。其中，H, W為照片的維度。

Given a grayscale photograph as input, this paper attacks the problem of hallucinating a plausible color version of the photograph.

This paper introduces an approach that given a grayscale image, aims to produce a plausible colorization that could potentially convince a human ...

We propose a fully automatic approach that produces vibrant and realistic colorizations. We embrace the underlying uncertainty of the problem by posing it as a ... Rapeseed · Lorikeet · Cheeseburger · Meat Loaf

Abstract. Given a grayscale photograph as input, this paper attacks the problem of hallucinating a plausible color version of the photograph.

This proposed colorization task is treated as a powerful pretext task for self-supervised feature learning, acting as a cross-channel encoder.