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Colorization

38 papers with code ยท Computer Vision

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Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs

30 Jun 2020

Convolutional Neural Networks (CNN)-based approaches have shown promising results in pansharpening of satellite images in recent years.

COLORIZATION SELF-SUPERVISED LEARNING SUPER-RESOLUTION

The color out of space: learning self-supervised representations for Earth Observation imagery

22 Jun 2020

We conduct experiments on land cover classification (BigEarthNet) and West Nile Virus detection, showing that colorization is a solid pretext task for training a feature extractor.

COLORIZATION

Artist-Guided Semiautomatic Animation Colorization

22 Jun 2020

There is a delicate balance between automating repetitive work in creative domains while staying true to an artist's vision.

LINE ART COLORIZATION

Multi-Density Sketch-to-Image Translation Network

18 Jun 2020

Sketch-to-image (S2I) translation plays an important role in image synthesis and manipulation tasks, such as photo editing and colorization.

COLORIZATION IMAGE GENERATION

Semantic-driven Colorization

13 Jun 2020

Recent deep colorization works predict the semantic information implicitly while learning to colorize black-and-white photographic images.

COLORIZATION

ColorFool: Semantic Adversarial Colorization

CVPR 2020

Instead, adversarial attacks that generate unrestricted perturbations are more robust to defenses, are generally more successful in black-box settings and are more transferable to unseen classifiers.

ADVERSARIAL ATTACK COLORIZATION DENOISING OBJECT CLASSIFICATION

Image Processing Using Multi-Code GAN Prior

CVPR 2020

Such an over-parameterization of the latent space significantly improves the image reconstruction quality, outperforming existing competitors.

COLORIZATION IMAGE INPAINTING IMAGE RECONSTRUCTION SUPER-RESOLUTION

Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence

CVPR 2020

However, it is difficult to prepare for a training data set that has a sufficient amount of semantically meaningful pairs of images as well as the ground truth for a colored image reflecting a given reference (e. g., coloring a sketch of an originally blue car given a reference green car).

COLORIZATION

Instance-Aware Image Colorization

CVPR 2020

Previous methods leverage the deep neural network to map input grayscale images to plausible color outputs directly.

COLORIZATION

Stylization-Based Architecture for Fast Deep Exemplar Colorization

CVPR 2020

Exemplar-based colorization aims to add colors to a grayscale image guided by a content related reference im- age.

COLORIZATION IMAGE STYLIZATION