Papers Colorization
“Colorization” 태그가 달린 논문 367편 · 필터 해제
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks
Recently, the vulnerability of deep image classification models to adversarial attacks has been investigated. However, such an issue has not been thoroughly studied for image-to-image tasks that take an input image and g…
ClassificationColorizationDeblurringDenoising+3Thermal 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 ColorizationPyramid convolutional network for colorization in monochrome-color multi-lens camera system
We study the problem of colorization in the monochrome-color multi-lens camera system. The recent convolutional network (CNN) based method learns a 3-D weight volume to solve this problem and gets very high accuracy. But…
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-ResolutionAdversarial Segmentation Loss for Sketch Colorization
We introduce a new method for generating color images from sketches or edge maps. Current methods either require some form of additional user-guidance or are limited to the "paired" translation approach. We argue that se…
ColorizationImage SegmentationPanoptic SegmentationSegmentation+3Culture-inspired Multi-modal Color Palette Generation and Colorization: A Chinese Youth Subculture Case
Color is an essential component of graphic design, acting not only as a visual factor but also carrying cultural implications. However, existing research on algorithmic color palette generation and colorization largely i…
ColorizationCultural Vocal Bursts Intensity PredictionColorization 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 ColorizationHigh-throughput fast full-color digital pathology based on Fourier ptychographic microscopy via color transfer
Full-color imaging is significant in digital pathology. Compared with a grayscale image or a pseudo-color image that only contains the contrast information, it can identify and detect the target object better with color …
ColorizationA Simple Mutual Information based Registration Method for Thermal-Optical Image Pairs applied on a Novel Dataset
While thermal optical registered datasets are becoming widely available, most of these works are based on image pairs which are pre-registered. However, thermal imagers where these images are registered by default are qu…
ColorizationImage RegistrationContextual colorization and denoising for low-light ultra high resolution sequences
Low-light image sequences generally suffer from spatio-temporal incoherent noise, flicker and blurring of moving objects. These artefacts significantly reduce visual quality and, in most cases, post-processing is needed …
ColorizationDenoisingVocal Bursts Intensity PredictionTransformers in Vision: A Survey
Astounding results from Transformer models on natural language tasks have intrigued the vision community to study their application to computer vision problems. Among their salient benefits, Transformers enable modeling …
Action RecognitionActivity RecognitionColorizationimage-classification+14LapsCore: 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 LearningJoint Intensity-Gradient Guided Generative Modeling for Colorization
This paper proposes an iterative generative model for solving the automatic colorization problem. Although previous researches have shown the capability to generate plausible color, the edge color overflow and the requir…
ColorizationTime-Travel Rephotography
Many historical people were only ever captured by old, faded, black and white photos, that are distorted due to the limitations of early cameras and the passage of time. This paper simulates traveling back in time with a…
ColorizationDenoisingImage RestorationScore-Based Generative Modeling through Stochastic Differential Equations
Creating noise from data is easy; creating data from noise is generative modeling. We present a stochastic differential equation (SDE) that smoothly transforms a complex data distribution to a known prior distribution by…
ColorizationDensity EstimationImage GenerationImage Inpainting+1Reference-Based Video Colorization with Spatiotemporal Correspondence
We propose a novel reference-based video colorization framework with spatiotemporal correspondence. Reference-based methods colorize grayscale frames referencing a user input color frame. Existing methods suffer from the…
ColorizationSemantic correspondenceLegacy Photo Editing with Learned Noise Prior
There are quite a number of photographs captured under undesirable conditions in the last century. Thus, they are often noisy, regionally incomplete, and grayscale formatted. Conventional approaches mainly focus on one p…
ColorizationDenoisingImage EnhancementvalidSCGAN: Saliency Map-guided Colorization with Generative Adversarial Network
Given a grayscale photograph, the colorization system estimates a visually plausible colorful image. Conventional methods often use semantics to colorize grayscale images. However, in these methods, only classification s…
ColorizationDecoderGenerative Adversarial NetworkRiemannian information gradient methods for the parameter estimation of ECD: Some applications in image processing
Elliptically-contoured distributions (ECD) play a significant role, in computer vision, image processing, radar, and biomedical signal processing. Maximum likelihood. estimation (MLE) of ECD leads to a system of non-line…
Colorizationparameter estimationTexture Classification