Papers Colorization
“Colorization” 태그가 달린 논문 367편 · 필터 해제
Instance-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 ColorizationBridging the gap between Natural and Medical Images through Deep Colorization
Deep learning has thrived by training on large-scale datasets. However, in many applications, as for medical image diagnosis, getting massive amount of data is still prohibitive due to privacy, lack of acquisition homoge…
ColorizationDiagnosticTransfer LearningGuided interactive image segmentation using machine learning and color based data set clustering
We present a novel approach that combines machine learning based interactive image segmentation using supervoxels with a clustering method for the automated identification of similarly colored images in large data sets w…
BIG-bench Machine LearningClusteringColorizationImage Segmentation+3Reference-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 TranslationTranslationGIMP-ML: Python Plugins for using Computer Vision Models in GIMP
This paper introduces GIMP-ML v1.1, a set of Python plugins for the widely popular GNU Image Manipulation Program (GIMP). It enables the use of recent advances in computer vision to the conventional image editing pipelin…
ClusteringColorizationDeblurringDenoising+10Distilling Localization for Self-Supervised Representation Learning
Recent progress in contrastive learning has revolutionized unsupervised representation learning. Concretely, multiple views (augmentations) from the same image are encouraged to map to the similar embeddings, while views…
ColorizationContrastive LearningGeneral Classificationobject-detection+6Line Art Correlation Matching Feature Transfer Network for Automatic Animation Colorization
Automatic animation line art colorization is a challenging computer vision problem, since the information of the line art is highly sparse and abstracted and there exists a strict requirement for the color and style cons…
ColorizationGenerative Adversarial NetworkImage-to-Image TranslationLine Art ColorizationCycle-CNN for Colorization towards Real Monochrome-Color Camera Systems
Colorization in monochrome-color camera systems aims to colorize the gray image IG from the monochrome camera using the color image RC from the color camera as reference. Since monochrome cameras have better imaging qual…
ColorizationTowards Lifelong Self-Supervision For Unpaired Image-to-Image Translation
Unpaired Image-to-Image Translation (I2IT) tasks often suffer from lack of data, a problem which self-supervised learning (SSL) has recently been very popular and successful at tackling. Leveraging auxiliary tasks such a…
ColorizationContinual LearningImage-to-Image TranslationSelf-Supervised Learning+1Modulating 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+1Deep Line Art Video Colorization with a Few References
Coloring line art images based on the colors of reference images is an important stage in animation production, which is time-consuming and tedious. In this paper, we propose a deep architecture to automatically color li…
ColorizationSelf-Supervised Contextual Bandits in Computer Vision
Contextual bandits are a common problem faced by machine learning practitioners in domains as diverse as hypothesis testing to product recommendations. There have been a lot of approaches in exploiting rich data represen…
ClusteringColorizationMulti-Armed BanditsSelf-Supervised Learning+1Robust Perceptual Night Vision in Thermal Colorization
Transforming a thermal infrared image into a robust perceptual colour Visible image is an ill-posed problem due to the differences in their spectral domains and in the objects' representations. Objects appear in one spec…
ColorizationA Machine Learning Imaging Core using Separable FIR-IIR Filters
We propose fixed-function neural network hardware that is designed to perform pixel-to-pixel image transformations in a highly efficient way. We use a fully trainable, fixed-topology neural network to build a model that …
BIG-bench Machine LearningColorizationDeblurringDenoising+1VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing
Deep Neural Networks (DNNs) achieve the state-of-the-art results on a wide range of image processing tasks, however, the majority of such solutions are problem-specific, like most AI algorithms. The One Network to Solve …
ColorizationCompressive SensingDeblurringDenoising+2Video Compression Coding via Colorization: A Generative Adversarial Network (GAN)-Based Approach
Under the limited storage, computing and network bandwidth resources, the video compression coding technology plays an important role for visual communication. To efficiently compress raw video data, a colorization-based…
ColorizationDecoderGenerative Adversarial NetworkVideo CompressionNanoscale 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+5Probing the State of the Art: A Critical Look at Visual Representation Evaluation
Self-supervised research improved greatly over the past half decade, with much of the growth being driven by objectives that are hard to quantitatively compare. These techniques include colorization, cyclical consistency…
Colorization