Papers Colorization
“Colorization” 태그가 달린 논문 367편 · 필터 해제
CCC++: Optimized Color Classified Colorization with Segment Anything Model (SAM) Empowered Object Selective Color Harmonization
In this paper, we formulate the colorization problem into a multinomial classification problem and then apply a weighted function to classes. We propose a set of formulas to transform color values into color classes and …
ColorizationSSIMTARHyperColorization: Propagating spatially sparse noisy spectral clues for reconstructing hyperspectral images
Hyperspectral cameras face challenging spatial-spectral resolution trade-offs and are more affected by shot noise than RGB photos taken over the same total exposure time. Here, we present a colorization algorithm to reco…
ColorizationSSIMCCC: Color Classified Colorization
Automatic colorization of gray images with objects of different colors and sizes is challenging due to inter- and intra-object color variation and the small area of the main objects due to extensive backgrounds. The lear…
ColorizationSSIMColorizing Monochromatic Radiance Fields
Though Neural Radiance Fields (NeRF) can produce colorful 3D representations of the world by using a set of 2D images, such ability becomes non-existent when only monochromatic images are provided. Since color is necessa…
ColorizationImage ColorizationNeRFControl Color: Multimodal Diffusion-based Interactive Image Colorization
Despite the existence of numerous colorization methods, several limitations still exist, such as lack of user interaction, inflexibility in local colorization, unnatural color rendering, insufficient color variation, and…
ColorizationColor ManipulationImage ColorizationDiffutoon: High-Resolution Editable Toon Shading via Diffusion Models
Toon shading is a type of non-photorealistic rendering task of animation. Its primary purpose is to render objects with a flat and stylized appearance. As diffusion models have ascended to the forefront of image synthesi…
ColorizationImage GenerationAudio-Infused Automatic Image Colorization by Exploiting Audio Scene Semantics
Automatic image colorization is inherently an ill-posed problem with uncertainty, which requires an accurate semantic understanding of scenes to estimate reasonable colors for grayscale images. Although recent interactio…
ColorizationImage ColorizationGrayscale Image Colorization with GAN and CycleGAN in Different Image Domain
Automatic colorization of grayscale image has been a challenging task. Previous research have applied supervised methods in conquering this problem [ 1]. In this paper, we reproduces a GAN-based coloring model, and exper…
ColorizationImage ColorizationColor-$S^{4}L$: Self-supervised Semi-supervised Learning with Image Colorization
This work addresses the problem of semi-supervised image classification tasks with the integration of several effective self-supervised pretext tasks. Different from widely-used consistency regularization within semi-sup…
Colorizationimage-classificationImage ClassificationImage Colorization+1ColorizeDiffusion: Adjustable Sketch Colorization with Reference Image and Text
Diffusion models have recently demonstrated their effectiveness in generating extremely high-quality images and are now utilized in a wide range of applications, including automatic sketch colorization. Although many met…
ColorizationSketch ColorizationMulti-scale Progressive Feature Embedding for Accurate NIR-to-RGB Spectral Domain Translation
NIR-to-RGB spectral domain translation is a challenging task due to the mapping ambiguities, and existing methods show limited learning capacities. To address these challenges, we propose to colorize NIR images via a mul…
ColorizationImage ColorizationTranslationSPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization
This paper addresses the automatic colorization problem, which converts a gray-scale image to a colorized one. Recent deep-learning approaches can colorize automatically grayscale images. However, when it comes to differ…
ColorizationGenerative Adversarial NetworkImage ColorizationSSIMFine-Tuning InstructPix2Pix for Advanced Image Colorization
This paper presents a novel approach to human image colorization by fine-tuning the InstructPix2Pix model, which integrates a language model (GPT-3) with a text-to-image model (Stable Diffusion). Despite the original Ins…
ColorizationImage ColorizationLanguage ModelingLanguage ModellingDiffusing Colors: Image Colorization with Text Guided Diffusion
The colorization of grayscale images is a complex and subjective task with significant challenges. Despite recent progress in employing large-scale datasets with deep neural networks, difficulties with controllability an…
ColorizationImage ColorizationIMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks
In-context learning allows adapting a model to new tasks given a task description at test time. In this paper, we present IMProv - a generative model that is able to in-context learn visual tasks from multimodal prompts.…
ColorizationForeground SegmentationIn-Context Learningobject-detection+1Gaussian Grouping: Segment and Edit Anything in 3D Scenes
The recent Gaussian Splatting achieves high-quality and real-time novel-view synthesis of the 3D scenes. However, it is solely concentrated on the appearance and geometry modeling, while lacking in fine-grained object-le…
ColorizationNeRFNovel View SynthesisObject+2Lasagna: Layered Score Distillation for Disentangled Object Relighting
Professional artists, photographers, and other visual content creators use object relighting to establish their photo's desired effect. Unfortunately, manual tools that allow relighting have a steep learning curve and ar…
ColorizationObjecttext-guided-image-editinginkn'hue: Enhancing Manga Colorization from Multiple Priors with Alignment Multi-Encoder VAE
Manga, a form of Japanese comics and distinct visual storytelling, has captivated readers worldwide. Traditionally presented in black and white, manga's appeal lies in its ability to convey complex narratives and emotion…
ColorizationVisual StorytellingNighttime Thermal Infrared Image Colorization with Feedback-based Object Appearance Learning
Stable imaging in adverse environments (e.g., total darkness) makes thermal infrared (TIR) cameras a prevalent option for night scene perception. However, the low contrast and lack of chromaticity of TIR images are detri…
ColorizationGenerative Adversarial NetworkImage ColorizationTranslationPre-Training LiDAR-Based 3D Object Detectors Through Colorization
Accurate 3D object detection and understanding for self-driving cars heavily relies on LiDAR point clouds, necessitating large amounts of labeled data to train. In this work, we introduce an innovative pre-training appro…
3D Object DetectionAutonomous VehiclesColorizationObject+4