Papers Image Colorization
“Image Colorization” 태그가 달린 논문 138편 · 필터 해제
L-C4: Language-Based Video Colorization for Creative and Consistent Color
Automatic video colorization is inherently an ill-posed problem because each monochrome frame has multiple optional color candidates. Previous exemplar-based video colorization methods restrict the user's imagination due…
ColorizationImage ColorizationPixelShuffler: A Simple Image Translation Through Pixel Rearrangement
Image-to-image translation is a topic in computer vision that has a vast range of use cases ranging from medical image translation, such as converting MRI scans to CT scans or to other MRI contrasts, to image colorizatio…
ColorizationDomain AdaptationImage ColorizationImage-to-Image Translation+3Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
Photo-realistic image restoration algorithms are typically evaluated by distortion measures (e.g., PSNR, SSIM) and by perceptual quality measures (e.g., FID, NIQE), where the desire is to attain the lowest possible disto…
Blind Face RestorationImage ColorizationImage DenoisingImage Inpainting+3ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with Mamba
Translating NIR to the visible spectrum is challenging due to cross-domain complexities. Current models struggle to balance a broad receptive field with computational efficiency, limiting practical use. Although the Sele…
Computational EfficiencyImage ColorizationMambaTranslationMultiColor: Image Colorization by Learning from Multiple Color Spaces
Deep networks have shown impressive performance in the image restoration tasks, such as image colorization. However, we find that previous approaches rely on the digital representation from single color model with a spec…
ColorizationDecoderImage ColorizationImage RestorationDiffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems
Recent studies on inverse problems have proposed posterior samplers that leverage the pre-trained diffusion models as powerful priors. These attempts have paved the way for using diffusion models in a wide range of inver…
ColorizationDeblurringDenoisingImage Colorization+6SketchDeco: Decorating B&W Sketches with Colour
This paper introduces a novel approach to sketch colourisation, inspired by the universal childhood activity of colouring and its professional applications in design and story-boarding. Striking a balance between precisi…
Image ColorizationImage GenerationSketch ColorizationTowards Global Optimal Visual In-Context Learning Prompt Selection
Visual In-Context Learning (VICL) is a prevailing way to transfer visual foundation models to new tasks by leveraging contextual information contained in in-context examples to enhance learning and prediction of query sa…
ColorizationForeground SegmentationImage ColorizationIn-Context Learning+2Multi-scale HSV Color Feature Embedding for High-fidelity NIR-to-RGB Spectrum Translation
The NIR-to-RGB spectral domain translation is a formidable task due to the inherent spectral mapping ambiguities within NIR inputs and RGB outputs. Thus, existing methods fail to reconcile the tension between maintaining…
ColorizationImage ColorizationTranslationLift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D
In recent years, there has been an explosion of 2D vision models for numerous tasks such as semantic segmentation, style transfer or scene editing, enabled by large-scale 2D image datasets. At the same time, there has be…
ColorizationImage ColorizationSemantic SegmentationStyle Transfer+1Colorizing 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 ColorizationAudio-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+1Multi-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 ColorizationNighttime 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 ColorizationTranslation