Papers Colorization
“Colorization” 태그가 달린 논문 367편 · 필터 해제
On the Diversity of Realistic Image Synthesis
Many image processing tasks can be formulated as translating images between two image domains, such as colorization, super resolution and conditional image synthesis. In most of these tasks, an input image may correspond…
ColorizationDiversityImage GenerationSuper-ResolutionDeep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
We review some of the most recent approaches to colorize gray-scale images using deep learning methods. Inspired by these, we propose a model which combines a deep Convolutional Neural Network trained from scratch with h…
ColorizationDecoderImage ColorizationMix-and-Match Tuning for Self-Supervised Semantic Segmentation
Deep convolutional networks for semantic image segmentation typically require large-scale labeled data, e.g. ImageNet and MS COCO, for network pre-training. To reduce annotation efforts, self-supervised semantic segmenta…
ColorizationImage ColorizationImage SegmentationSegmentation+2InverseNet: Solving Inverse Problems with Splitting Networks
We propose a new method that uses deep learning techniques to solve the inverse problems. The inverse problem is cast in the form of learning an end-to-end mapping from observed data to the ground-truth. Inspired by the …
ColorizationDeblurringDenoisingSuper-ResolutionImproving Video Generation for Multi-functional Applications
In this paper, we aim to improve the state-of-the-art video generative adversarial networks (GANs) with a view towards multi-functional applications. Our improved video GAN model does not separate foreground from backgro…
ColorizationFuture predictionVideo GenerationVideo InpaintingExploiting the potential of unlabeled endoscopic video data with self-supervised learning
Surgical data science is a new research field that aims to observe all aspects of the patient treatment process in order to provide the right assistance at the right time. Due to the breakthrough successes of deep learni…
ColorizationGenerative Adversarial NetworkInstance SegmentationSelf-Supervised Learning+1Language-Based Image Editing with Recurrent Attentive Models
We investigate the problem of Language-Based Image Editing (LBIE). Given a source image and a natural language description, we want to generate a target image by editing the source image based on the description. We prop…
ColorizationImage ColorizationImage SegmentationSegmentation+1Learning Affinity via Spatial Propagation Networks
In this paper, we propose spatial propagation networks for learning the affinity matrix for vision tasks. We show that by constructing a row/column linear propagation model, the spatially varying transformation matrix ex…
ColorizationFace ParsingImage MattingImage Segmentation+2Learning Affinity via Spatial Propagation Network
In this paper, we propose spatial propagation networks for learning the affinity matrix for vision tasks. We show that by constructing a row/column linear propagation model, the spatially varying transformation matrix e…
ColorizationFace ParsingImage MattingImage Segmentation+2Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning
The success of deep learning in computer vision is rooted in the ability of deep networks to scale up model complexity as demanded by challenging visual tasks. As complexity is increased, so is the need for large amounts…
ClusteringColorizationImage ColorizationRepresentation Learning+2SAR Image Colorization: Converting Single-Polarization to Fully Polarimetric Using Deep Neural Networks
A deep neural networks based method is proposed to convert single polarization grayscale SAR image to fully polarimetric. It consists of two components: a feature extractor network to extract hierarchical multi-scale spa…
ColorizationImage ColorizationComicolorization: Semi-Automatic Manga Colorization
We developed "Comicolorization", a semi-automatic colorization system for manga images. Given a monochrome manga and reference images as inputs, our system generates a plausible color version of the manga. This is the fi…
ColorizationcGAN-based Manga Colorization Using a Single Training Image
The Japanese comic format known as Manga is popular all over the world. It is traditionally produced in black and white, and colorization is time consuming and costly. Automatic colorization methods generally rely on gre…
ColorizationStyle Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN
Recently, with the revolutionary neural style transferring methods, creditable paintings can be synthesized automatically from content images and style images. However, when it comes to the task of applying a painting's …
ColorizationGenerative Adversarial NetworkStyle TransferPixColor: Pixel Recursive Colorization
We propose a novel approach to automatically produce multiple colorized versions of a grayscale image. Our method results from the observation that the task of automated colorization is relatively easy given a low-resolu…
ColorizationProbabilistic Image Colorization
We develop a probabilistic technique for colorizing grayscale natural images. In light of the intrinsic uncertainty of this task, the proposed probabilistic framework has numerous desirable properties. In particular, our…
ColorizationImage ColorizationReal-Time User-Guided Image Colorization with Learned Deep Priors
We propose a deep learning approach for user-guided image colorization. The system directly maps a grayscale image, along with sparse, local user "hints" to an output colorization with a Convolutional Neural Network (CNN…
ColorizationImage ColorizationPoint-interactive Image ColorizationOutline Colorization through Tandem Adversarial Networks
When creating digital art, coloring and shading are often time consuming tasks that follow the same general patterns. A solution to automatically colorize raw line art would have many practical applications. We propose a…
ColorizationA learning-based approach for automatic image and video colorization
In this paper, we present a color transfer algorithm to colorize a broad range of gray images without any user intervention. The algorithm uses a machine learning-based approach to automatically colorize grayscale images…
ColorizationSuperpixelsConvolutional Neural Pyramid for Image Processing
We propose a principled convolutional neural pyramid (CNP) framework for general low-level vision and image processing tasks. It is based on the essential finding that many applications require large receptive fields for…
ColorizationImage EnhancementImage Restorationregression