Papers Colorization
“Colorization” 태그가 달린 논문 367편 · 필터 해제
(DE)^2 CO: Deep Depth Colorization
The ability to classify objects is fundamental for robots. Besides knowledge about their visual appearance, captured by the RGB channel, robots heavily need also depth information to make sense of the world. While the us…
ColorizationTransfer LearningZM-Net: Real-time Zero-shot Image Manipulation Network
Many problems in image processing and computer vision (e.g. colorization, style transfer) can be posed as 'manipulating' an input image into a corresponding output image given a user-specified guiding signal. A holy-grai…
ColorizationDescriptiveImage ManipulationStyle TransferColorization as a Proxy Task for Visual Understanding
We investigate and improve self-supervision as a drop-in replacement for ImageNet pretraining, focusing on automatic colorization as the proxy task. Self-supervised training has been shown to be more promising for utiliz…
ColorizationUnsupervised Diverse Colorization via Generative Adversarial Networks
Colorization of grayscale images has been a hot topic in computer vision. Previous research mainly focuses on producing a colored image to match the original one. However, since many colors share the same gray value, an …
ColorizationDiversityGeneralized Deep Image to Image Regression
We present a Deep Convolutional Neural Network architecture which serves as a generic image-to-image regressor that can be trained end-to-end without any further machinery. Our proposed architecture: the Recursively Bran…
ColorizationDenoisingImage-to-Image RegressionregressionLearning Diverse Image Colorization
Colorization is an ambiguous problem, with multiple viable colorizations for a single grey-level image. However, previous methods only produce the single most probable colorization. Our goal is to model the diversity int…
ColorizationDecoderDiversityGenerative Adversarial Network+1Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Recently, there have been several promising methods to generate realistic imagery from deep convolutional networks. These methods sidestep the traditional computer graphics rendering pipeline and instead generate imagery…
ColorizationImage GenerationImage-to-Image Translation with Conditional Adversarial Networks
We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output image, but also learn a loss func…
ColorizationCross-View Image-to-Image TranslationFundus to Angiography GenerationImage-to-Image Translation+2Mask-off: Synthesizing Face Images in the Presence of Head-mounted Displays
A head-mounted display (HMD) could be an important component of augmented reality system. However, as the upper face region is seriously occluded by the device, the user experience could be affected in applications such …
ColorizationFace AlignmentFace GenerationA deep representation for depth images from synthetic data
Convolutional Neural Networks (CNNs) trained on large scale RGB databases have become the secret sauce in the majority of recent approaches for object categorization from RGB-D data. Thanks to colorization techniques, th…
ColorizationObject CategorizationSimultaneous independent image display technique on multiple 3D objects
We propose a new system to visualize depth-dependent patterns and images on solid objects with complex geometry using multiple projectors. The system, despite consisting of conventional passive LCD projectors, is able to…
ColorizationObjectLet there be color!: joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification
We present a novel technique to automatically colorize grayscale images that combines both global priors and local image features. Based on Convolutional Neural Networks, our deep network features a fusion layer that all…
ColorizationImage ColorizationScene ClassificationMultiple Hypothesis Colorization
In this work we focus on the problem of colorization for image compression. Since color information occupies a large proportion of the total storage size of an image, a method that can predict accurate color from its gra…
ColorizationImage CompressionDeep Colorization
This paper investigates into the colorization problem which converts a grayscale image to a colorful version. This is a very difficult problem and normally requires manual adjustment to achieve artifact-free quality. For…
ClusteringColorizationImage ClusteringPatch MatchingImage Colorization Using a Deep Convolutional Neural Network
In this paper, we present a novel approach that uses deep learning techniques for colorizing grayscale images. By utilizing a pre-trained convolutional neural network, which is originally designed for image classificatio…
ColorizationGeneral Classificationimage-classificationImage Classification+3Infrared Colorization Using Deep Convolutional Neural Networks
This paper proposes a method for transferring the RGB color spectrum to near-infrared (NIR) images using deep multi-scale convolutional neural networks. A direct and integrated transfer between NIR and RGB pixels is trai…
ColorizationColorful Image Colorization
Given a grayscale photograph as input, this paper attacks the problem of hallucinating a plausible color version of the photograph. This problem is clearly underconstrained, so previous approaches have either relied on s…
ColorizationDiversityImage ColorizationSelf-Supervised Image ClassificationLearning Representations for Automatic Colorization
We develop a fully automatic image colorization system. Our approach leverages recent advances in deep networks, exploiting both low-level and semantic representations. As many scene elements naturally appear according t…
ColorizationImage ColorizationRepresentation LearningLearning Large-Scale Automatic Image Colorization
We describe an automated method for image colorization that learns to colorize from examples. Our method exploits a LEARCH framework to train a quadratic objective function in the chromaticity maps, comparable to a Gaus…
ColorizationImage ColorizationDepth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution
In this paper, we present a joint iterative anaglyph stereo matching and colorization framework for obtaining a set of disparity maps and colorized images. Conventional stereo matching algorithms fail when addressing ana…
ColorizationStereo MatchingStereo Matching Hand