Papers Image Colorization
“Image Colorization” 태그가 달린 논문 138편 · 필터 해제
Generative 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 GenerationTowards 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 ColorizationFocusing 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 ParsingAttention-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 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 ColorizationConditional 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 TranslationTranslationThermal Infrared Image Colorization for Nighttime Driving Scenes with Top-Down Guided Attention
Benefitting from insensitivity to light and high penetration of foggy environments, infrared cameras are widely used for sensing in nighttime traffic scenes. However, the low contrast and lack of chromaticity of thermal …
ColorizationImage ColorizationTranslationVCGAN: Video Colorization with Hybrid Generative Adversarial Network
We propose a hybrid recurrent Video Colorization with Hybrid Generative Adversarial Network (VCGAN), an improved approach to video colorization using end-to-end learning. The VCGAN addresses two prevalent issues in the v…
ColorizationGenerative Adversarial NetworkImage ColorizationGenerating Images with Sparse Representations
The high dimensionality of images presents architecture and sampling-efficiency challenges for likelihood-based generative models. Previous approaches such as VQ-VAE use deep autoencoders to obtain compact representation…
ColorizationImage ColorizationImage CompressionSuper-ResolutionColorization Transformer
We present the Colorization Transformer, a novel approach for diverse high fidelity image colorization based on self-attention. Given a grayscale image, the colorization proceeds in three steps. We first use a conditiona…
ColorizationImage ColorizationLapsCore: Language-Guided Person Search via Color Reasoning
The key point of language-guided person search is to construct the cross-modal association between visual and textual input. Existing methods focus on designing multimodal attention mechanisms and novel cross-modal l…
ColorizationImage ColorizationPerson SearchRepresentation LearningBIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
Classic image-restoration algorithms use a variety of priors, either implicitly or explicitly. Their priors are hand-designed and their corresponding weights are heuristically assigned. Hence, deep learning methods often…
ColorizationDenoisingHallucinationImage Colorization+2Image Colorization: A Survey and Dataset
Image colorization estimates RGB colors for grayscale images or video frames to improve their aesthetic and perceptual quality. Over the last decade, deep learning techniques for image colorization have significantly pro…
BenchmarkingColorizationImage ColorizationSurveyTransformation Consistency Regularization – A Semi-Supervised Paradigm for Image-to-Image Translation
Scarcity of labeled data has motivated the development of semi-supervised learning methods, which learn from large portions of unlabeled data alongside a few labeled samples. Consistency Regularization between model's pr…
ColorizationDenoisingImage ColorizationImage-to-Image Translation+2Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation
Scarcity of labeled data has motivated the development of semi-supervised learning methods, which learn from large portions of unlabeled data alongside a few labeled samples. Consistency Regularization between model's pr…
ColorizationDenoisingImage ColorizationImage-to-Image Translation+2