Papers Image Colorization
“Image Colorization” 태그가 달린 논문 138편 · 필터 해제
Incorporating Ensemble and Transfer Learning For An End-To-End Auto-Colorized Image Detection Model
Image colorization is the process of colorizing grayscale images or recoloring an already-color image. This image manipulation can be used for grayscale satellite, medical and historical images making them more expressiv…
ColorizationEnsemble LearningImage ColorizationImage Manipulation+1ChromaDistill: Colorizing Monochrome Radiance Fields with Knowledge Distillation
Colorization is a well-explored problem in the domains of image and video processing. However, extending colorization to 3D scenes presents significant challenges. Recent Neural Radiance Field (NeRF) and Gaussian-Splatti…
3DGSColorizationImage ColorizationKnowledge Distillation+2Cooperative Colorization: Exploring Latent Cross-Domain Priors for NIR Image Spectrum Translation
Near-infrared (NIR) image spectrum translation is a challenging problem with many promising applications. Existing methods struggle with the mapping ambiguity between the NIR and the RGB domains, and generalize poorly du…
ColorizationImage ColorizationTranslationBrighten-and-Colorize: A Decoupled Network for Customized Low-Light Image Enhancement
Low-Light Image Enhancement (LLIE) aims to improve the perceptual quality of an image captured in low-light conditions. Generally, a low-light image can be divided into lightness and chrominance components. Recent advanc…
ColorizationImage ColorizationImage EnhancementLow-Light Image Enhancement+1DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models
Recent data-driven image colorization methods have enabled automatic or reference-based colorization, while still suffering from unsatisfactory and inaccurate object-level color control. To address these issues, we propo…
ColorizationImage ColorizationImage ReconstructionDequantization and Color Transfer with Diffusion Models
We demonstrate an image dequantizing diffusion model that enables novel edits on natural images. We propose operating on quantized images because they offer easy abstraction for patch-based edits and palette transfer. In…
ColorizationImage ColorizationImage RestorationQuantizationFast Optimal Transport through Sliced Wasserstein Generalized Geodesics
Wasserstein distance (WD) and the associated optimal transport plan have been proven useful in many applications where probability measures are at stake. In this paper, we propose a new proxy of the squared WD, coined mi…
ColorizationImage ColorizationFlowChroma -- A Deep Recurrent Neural Network for Video Colorization
We develop an automated video colorization framework that minimizes the flickering of colors across frames. If we apply image colorization techniques to successive frames of a video, they treat each frame as a separate c…
ColorizationDecoderImage ColorizationPrincipal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems
Uncertainty quantification for inverse problems in imaging has drawn much attention lately. Existing approaches towards this task define uncertainty regions based on probable values per pixel, while ignoring spatial corr…
ColorizationComputational EfficiencyImage ColorizationImage Restoration+2Temporal Consistent Automatic Video Colorization via Semantic Correspondence
Video colorization task has recently attracted wide attention. Recent methods mainly work on the temporal consistency in adjacent frames or frames with small interval. However, it still faces severe challenge of the inco…
ColorizationImage ColorizationSemantic correspondenceMMC: Multi-Modal Colorization of Images using Textual Descriptions
Handling various objects with different colors is a significant challenge for image colorization techniques. Thus, for complex real-world scenes, the existing image colorization algorithms often fail to maintain color co…
ColorizationImage ColorizationImproved Diffusion-based Image Colorization via Piggybacked Models
Image colorization has been attracting the research interests of the community for decades. However, existing methods still struggle to provide satisfactory colorized results given grayscale images due to a lack of human…
ColorizationImage ColorizationSPColor: Semantic Prior Guided Exemplar-based Image Colorization
Exemplar-based image colorization aims to colorize a target grayscale image based on a color reference image, and the key is to establish accurate pixel-level semantic correspondence between these two images. Previous me…
ColorizationImage ColorizationSemantic correspondenceTextIR: A Simple Framework for Text-based Editable Image Restoration
Most existing image restoration methods use neural networks to learn strong image-level priors from huge data to estimate the lost information. However, these works still struggle in cases when images have severe informa…
ColorizationImage ColorizationImage InpaintingImage Restoration+2Composer: Creative and Controllable Image Synthesis with Composable Conditions
Recent large-scale generative models learned on big data are capable of synthesizing incredible images yet suffer from limited controllability. This work offers a new generation paradigm that allows flexible control of t…
Image ColorizationImage GenerationImage-to-Image TranslationPose Transfer+3DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders
Image colorization is a challenging problem due to multi-modal uncertainty and high ill-posedness. Directly training a deep neural network usually leads to incorrect semantic colors and low color richness. While transfor…
ColorizationDecoderImage ColorizationGenerative Colorization of Structured Mobile Web Pages
Color is a critical design factor for web pages, affecting important factors such as viewer emotions and the overall trust and satisfaction of a website. Effective coloring requires design knowledge and expertise, but if…
ColorizationEfficient ExplorationImage ColorizationZero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Most existing Image Restoration (IR) models are task-specific, which can not be generalized to different degradation operators. In this work, we propose the Denoising Diffusion Null-Space Model (DDNM), a novel zero-shot …
Colorizationcompressed sensingDeblurringDenoising+7Disentangled Image Colorization via Global Anchors
Colorization is multimodal by nature and challenges existing frameworks to achieve colorful and structurally consistent results. Even the sophisticated autoregressive model struggles to maintain long-distance color consi…
ColorizationImage ColorizationWhat's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems
Estimating uncertainty in image-to-image networks is an important task, particularly as such networks are being increasingly deployed in the biological and medical imaging realms. In this paper, we introduce a new approa…
ColorizationImage ColorizationSuper-Resolution