Papers Image Colorization
“Image Colorization” 태그가 달린 논문 138편 · 필터 해제
Invertible Grayscale via Dual Features Ensemble
Grayscale image colorization is known as an ill-posed problem because of the imbalanced matching between intensity and color values. Even given prior hints about the original color image, existing colorization methods …
ColorizationImage ColorizationInstance-aware Image Colorization
Image colorization is inherently an ill-posed problem with multi-modal uncertainty. Previous methods leverage the deep neural network to map input grayscale images to plausible color outputs directly. Although these lear…
ColorizationImage ColorizationObjectPoint-interactive Image ColorizationReference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence
This paper tackles the automatic colorization task of a sketch image given an already-colored reference image. Colorizing a sketch image is in high demand in comics, animation, and other content creation applications, bu…
ColorizationImage ColorizationSemantic correspondenceDeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation
We present the DeepHist - a novel Deep Learning framework for augmenting a network by histogram layers and demonstrate its strength by addressing image-to-image translation problems. Specifically, given an input image an…
ColorizationImage ColorizationImage-to-Image TranslationTranslationModulating Bottom-Up and Top-Down Visual Processing via Language-Conditional Filters
How to best integrate linguistic and perceptual processing in multi-modal tasks that involve language and vision is an important open problem. In this work, we argue that the common practice of using language in a top-do…
ColorizationImage ColorizationReferring ExpressionReferring Expression Segmentation+1Nanoscale Microscopy Images Colorization Using Neural Networks
Microscopy images are powerful tools and widely used in the majority of research areas, such as biology, chemistry, physics and materials fields by various microscopies (scanning electron microscope (SEM), atomic force m…
ColorizationImage ColorizationStyle TransferImage Processing Using Multi-Code GAN Prior
Despite the success of Generative Adversarial Networks (GANs) in image synthesis, applying trained GAN models to real image processing remains challenging. Previous methods typically invert a target image back to the lat…
Blind Face RestorationColorizationImage ColorizationImage Denoising+5Relative Pixel Prediction For Autoregressive Image Generation
In natural images, transitions between adjacent pixels tend to be smooth and gradual, a fact that has long been exploited in image compression models based on predictive coding. In contrast, existing neural autoregressiv…
ColorizationImage ColorizationImage CompressionImage Generation+3Conditional Invertible Neural Networks for Guided Image Generation
In this work, we address the task of natural image generation guided by a conditioning input. We introduce a new architecture called conditional invertible neural network (cINN). It combines the purely generative INN mod…
ColorizationImage ColorizationImage GenerationMetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization
In recent years, the majority of works on deep-learning-based image colorization have focused on how to make a good use of the enormous datasets currently available. What about when the data at disposal are scarce? The m…
ColorizationImage ColorizationMeta-LearningImage Colorization By Capsule Networks
In this paper, a simple topology of Capsule Network (CapsNet) is investigated for the problem of image colorization. The generative and segmentation capabilities of the original CapsNet topology, which is proposed for im…
Colorizationimage-classificationImage ClassificationImage ColorizationGuided Image Generation with Conditional Invertible Neural Networks
In this work, we address the task of natural image generation guided by a conditioning input. We introduce a new architecture called conditional invertible neural network (cINN). The cINN combines the purely generative I…
ColorizationImage ColorizationImage GenerationAutomatic Temporally Coherent Video Colorization
Greyscale image colorization for applications in image restoration has seen significant improvements in recent years. Many of these techniques that use learning-based methods struggle to effectively colorize sparse input…
ColorizationImage ColorizationImage RestorationImage-to-Image Translation+1Detecting Colorized Images via Convolutional Neural Networks: Toward High Accuracy and Good Generalization
Image colorization achieves more and more realistic results with the increasing computation power of recent deep learning techniques. It becomes more difficult to identify the fake colorized images by human eyes. In this…
ColorizationGeneral ClassificationImage ColorizationPixelated Semantic Colorization
While many image colorization algorithms have recently shown the capability of producing plausible color versions from gray-scale photographs, they still suffer from limited semantic understanding. To address this shortc…
ColorizationImage ColorizationObjectSemantic SegmentationPerturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples
Despite the tremendous success of deep neural networks in various learning problems, it has been observed that adding an intentionally designed adversarial perturbation to inputs of these architectures leads to erroneous…
ClassificationColorizationGeneral ClassificationImage Colorization+1Task-Aware Image Downscaling
Image downscaling is one of the most classical problems in computer vision that aims to preserve the visual appearance of the original image when it is resized to a smaller scale. Upscaling a small image back to its orig…
ColorizationImage ColorizationSuper-ResolutionPixel-level Semantics Guided Image Colorization
While many image colorization algorithms have recently shown the capability of producing plausible color versions from gray-scale photographs, they still suffer from the problems of context confusion and edge color bleed…
ColorizationImage ColorizationSegmentationSemantic SegmentationThe SEN1-2 Dataset for Deep Learning in SAR-Optical Data Fusion
While deep learning techniques have an increasing impact on many technical fields, gathering sufficient amounts of training data is a challenging problem in remote sensing. In particular, this holds for applications invo…
ColorizationDeep LearningImage ColorizationColoring with Words: Guiding Image Colorization Through Text-based Palette Generation
This paper proposes a novel approach to generate multiple color palettes that reflect the semantics of input text and then colorize a given grayscale image according to the generated color palette. In contrast to existin…
ColorizationImage ColorizationSentence