Papers Colorization
“Colorization” 태그가 달린 논문 367편 · 필터 해제
Generative Modeling with Optimal Transport Maps
With the discovery of Wasserstein GANs, Optimal Transport (OT) has become a powerful tool for large-scale generative modeling tasks. In these tasks, OT cost is typically used as the loss for training GANs. In contrast to…
AttributeColorizationDenoisingImage Generation+1Generative Probabilistic Image Colorization
We propose Generative Probabilistic Image Colorization, a diffusion-based generative process that trains a sequence of probabilistic models to reverse each step of noise corruption. Given a line-drawing image as input, o…
ColorizationConditional Image GenerationImage ColorizationImage GenerationThe Animation Transformer: Visual Correspondence via Segment Matching
Visual correspondence is a fundamental building block on the way to building assistive tools for hand-drawn animation. However, while a large body of work has focused on learning visual correspondences at the pixel-level…
ColorizationTowards Photorealistic Colorization by Imagination
We present a novel approach to automatic image colorization by imitating the imagination process of human experts. Our imagination module is designed to generate color images that are context-correlated with black-and-wh…
ColorizationImage ColorizationImage GenerationTowards Vivid and Diverse Image Colorization with Generative Color Prior
Colorization has attracted increasing interest in recent years. Classic reference-based methods usually rely on external color images for plausible results. A large image database or online search engine is inevitably re…
ColorizationImage ColorizationGuided Colorization Using Mono-Color Image Pairs
Compared to color images captured by conventional RGB cameras, monochrome images usually have better signal-to-noise ratio (SNR) and richer textures due to its higher quantum efficiency. It is thus natural to apply a mon…
ColorizationImage EnhancementFocusing on Persons: Colorizing Old Images Learning from Modern Historical Movies
In industry, there exist plenty of scenarios where old gray photos need to be automatically colored, such as video sites and archives. In this paper, we present the HistoryNet focusing on historical person's diverse high…
ClassificationColorizationImage ColorizationSemantic ParsingSkeleton Cloud Colorization for Unsupervised 3D Action Representation Learning
Skeleton-based human action recognition has attracted increasing attention in recent years. However, most of the existing works focus on supervised learning which requiring a large number of annotated action sequences th…
3D Action RecognitionAction RecognitionColorizationRepresentation Learning+1Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues
Near infrared (NIR) imaging has been widely applied in low-light imaging scenarios; however, it is difficult for human and algorithms to perceive the real scene in the colorless NIR domain. While Generative Adversarial N…
ColorizationGenerative Adversarial NetworkImage ColorizationPainting Style-Aware Manga Colorization Based on Generative Adversarial Networks
Japanese comics (called manga) are traditionally created in monochrome format. In recent years, in addition to monochrome comics, full color comics, a more attractive medium, have appeared. Unfortunately, color comics re…
ColorizationWavelet Transform-assisted Adaptive Generative Modeling for Colorization
Unsupervised deep learning has recently demonstrated the promise of producing high-quality samples. While it has tremendous potential to promote the image colorization task, the performance is limited owing to the high-d…
ColorizationDenoisingDiversityImage ColorizationDeep Edge-Aware Interactive Colorization against Color-Bleeding Effects
Deep neural networks for automatic image colorization often suffer from the color-bleeding artifact, a problematic color spreading near the boundaries between adjacent objects. Such color-bleeding artifacts debase the re…
ColorizationImage ColorizationDeep auxiliary learning for visual localization using colorization task
Visual localization is one of the most important components for robotics and autonomous driving. Recently, inspiring results have been shown with CNN-based methods which provide a direct formulation to end-to-end regress…
Autonomous DrivingAuxiliary LearningCamera LocalizationColorization+3Color2Embed: Fast Exemplar-Based Image Colorization using Color Embeddings
In this paper, we present a fast exemplar-based image colorization approach using color embeddings named Color2Embed. Generally, due to the difficulty of obtaining input and ground truth image pairs, it is hard to train …
ColorizationImage ColorizationSemantic correspondenceGeneration of the NIR spectral Band for Satellite Images with Convolutional Neural Networks
The near-infrared (NIR) spectral range (from 780 to 2500 nm) of the multispectral remote sensing imagery provides vital information for the landcover classification, especially concerning the vegetation assessment. Despi…
ColorizationGenerative Adversarial NetworkImage ColorizationDeep Direct Volume Rendering: Learning Visual Feature Mappings From Exemplary Images
Volume Rendering is an important technique for visualizing three-dimensional scalar data grids and is commonly employed for scientific and medical image data. Direct Volume Rendering (DVR) is a well established and effic…
ColorizationInverse RenderingNeural RenderingUkiyo-e Analysis and Creativity with Attribute and Geometry Annotation
The study of Ukiyo-e, an important genre of pre-modern Japanese art, focuses on the object and style like other artwork researches. Such study has benefited from the renewed interest by the machine learning community in …
ARCAttributeBIG-bench Machine LearningColorization+1Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
The rapid advances in deep generative models over the past years have led to highly {realistic media, known as deepfakes,} that are commonly indistinguishable from real to human eyes. These advances make assessing the au…
ColorizationDenoisingMisinformationSuper-ResolutionCrowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification
Labeled crowd scene images are expensive and scarce. To significantly reduce the requirement of the labeled images, we propose ColorCount, a novel CNN-based approach by combining self-supervised transfer colorization lea…
ColorizationCrowd CountingConditional Invertible Neural Networks for Diverse Image-to-Image Translation
We introduce a new architecture called a conditional invertible neural network (cINN), and use it to address the task of diverse image-to-image translation for natural images. This is not easily possible with existing IN…
ColorizationImage ColorizationImage-to-Image TranslationTranslation