Papers Colorization
“Colorization” 태그가 달린 논문 367편 · 필터 해제
BIGPrior: 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+2Blind Video Temporal Consistency via Deep Video Prior
Applying image processing algorithms independently to each video frame often leads to temporal inconsistency in the resulting video. To address this issue, we present a novel and general approach for blind video temporal…
ColorizationImage DehazingImage EnhancementOptical Flow Estimation+2Procedural 3D Terrain Generation using Generative Adversarial Networks
Procedural 3D Terrain generation has become a necessity in open world games, as it can provide unlimited content, through a functionally infinite number of different areas, for players to explore. In our approach, we use…
ColorizationGenerative Adversarial NetworkImage-to-Image TranslationUnsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network
Image-to-Image (I2I) translation is a heated topic in academia, and it also has been applied in real-world industry for tasks like image synthesis, super-resolution, and colorization. However, traditional I2I translation…
ColorizationDiversityImage GenerationImage-to-Image Translation+5DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement
The remastering of vintage film comprises of a diversity of sub-tasks including super-resolution, noise removal, and contrast enhancement which aim to restore the deteriorated film medium to its original state. Additiona…
ColorizationDiversitySuper-ResolutionVideo EnhancementLearning more expressive joint distributions in multimodal variational methods
Data often are formed of multiple modalities, which jointly describe the observed phenomena. Modeling the joint distribution of multimodal data requires larger expressive power to capture high-level concepts and provide …
ColorizationVariational InferenceWeakly-supervised LearningImage 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 ColorizationSurveyColorization of Depth Map via Disentanglement
Vision perception is one of the most important components for a computer or robot to understand the surrounding scene and achieve autonomous applications. However, most of the vision models are based on the RGB sensors, …
ColorizationDisentanglementMemory Selection Network for Video Propagation
Video propagation is a fundamental problem in video processing where guidance frame predictions are propagated to guide predictions of the target frame. Previous research mainly treats the previous adjacent frame as guid…
ColorizationSemantic SegmentationVideo Object SegmentationVideo Propagation+1Transformation 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+2Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs
Convolutional Neural Networks (CNN)-based approaches have shown promising results in pansharpening of satellite images in recent years. However, they still exhibit limitations in producing high-quality pansharpening outp…
ColorizationPansharpeningSelf-Supervised LearningSuper-ResolutionPan-Sharpening with Color-Aware Perceptual Loss and Guided Re-Colorization
We present a novel color-aware perceptual (CAP) loss for learning the task of pan-sharpening. Our CAP loss is designed to focus on the deep features of a pre-trained VGG network that are more sensitive to spatial details…
ColorizationThe color out of space: learning self-supervised representations for Earth Observation imagery
The recent growth in the number of satellite images fosters the development of effective deep-learning techniques for Remote Sensing (RS). However, their full potential is untapped due to the lack of large annotated data…
ColorizationDisease PredictionEarth ObservationImage Classification+3Artist-Guided Semiautomatic Animation Colorization
There is a delicate balance between automating repetitive work in creative domains while staying true to an artist's vision. The animation industry regularly outsources large animation workloads to foreign countries wher…
ColorizationLine Art ColorizationMulti-Density Sketch-to-Image Translation Network
Sketch-to-image (S2I) translation plays an important role in image synthesis and manipulation tasks, such as photo editing and colorization. Some specific S2I translation including sketch-to-photo and sketch-to-painting …
ColorizationImage GenerationSketch-to-Image TranslationTranslationSemantic-driven Colorization
Recent colorization works implicitly predict the semantic information while learning to colorize black-and-white images. Consequently, the generated color is easier to be overflowed, and the semantic faults are invisible…
ColorizationStylization-Based Architecture for Fast Deep Exemplar Colorization
Exemplar-based colorization aims to add colors to a grayscale image guided by a content related reference im- age. Existing methods are either sensitive to the selection of reference images (content, position) or extreme…
ColorizationImage StylizationImage Restoration from Parametric Transformations using Generative Models
When images are statistically described by a generative model we can use this information to develop optimum techniques for various image restoration problems as inpainting, super-resolution, image coloring, generative m…
Blind Image DeblurringColorizationDeblurringImage Restoration+1Invertible Grayscale via Dual Features Ensemble
Grayscale image colorization is known as an ill-posed problem because of the imbalanced matching between intensity and color values. Even given prior hints about the original color image, existing colorization methods …
ColorizationImage Colorization