Papers Image Colorization
“Image Colorization” 태그가 달린 논문 138편 · 필터 해제
Multimodal Image Colorization: Quantifying the Impact of Text-Conditioned Guidance on Grayscale-to-Color Translation
Grayscale images are commonly found in historical photography restoration, medical imaging, and artistic media. However, automatically applying color to these images remains a significant challenge in computer vision bec…
Image ColorizationFSCM: Frequency-Enhanced Spatial-Spectral Coupled Mamba for Infrared Hyperspectral Image Colorization
Thermal infrared imaging is robust to illumination variations and smoke interference, making it important for all-weather perception. However, the lack of natural color and fine texture limits target recognition, human v…
Semantic SegmentationImage ColorizationEnhancing Visual In-Context Learning by Multi-Faceted Fusion
Visual In-Context Learning (VICL) has emerged as a powerful paradigm, enabling models to perform novel visual tasks by learning from in-context examples. The dominant "retrieve-then-prompt" approach typically relies on s…
Image ColorizationObject DetectionBeyond Single Prompts: Synergistic Fusion and Arrangement for VICL
Vision In-Context Learning (VICL) enables inpainting models to quickly adapt to new visual tasks from only a few prompts. However, existing methods suffer from two key issues: (1) selecting only the most similar prompt d…
Image ColorizationObject DetectionHistogram Assisted Quality Aware Generative Model for Resolution Invariant NIR Image Colorization
We present HAQAGen, a unified generative model for resolution-invariant NIR-to-RGB colorization that balances chromatic realism with structural fidelity. The proposed model introduces (i) a combined loss term aligning th…
Image ColorizationLoGoColor: Local-Global 3D Colorization for 360° Scenes
Single-channel 3D reconstruction is widely used in fields such as robotics and medical imaging. While these methods are good at reconstructing 3D geometry, their outputs are typically uncolored 3D models, making 3D color…
Image Colorization3D ReconstructionColor and Frequency Correction for Image Colorization
The project has carried out the re-optimization of image coloring in accordance with the existing Autocolorization direction model DDColor. For the experiments on the existing weights of DDColor, we found that it has lim…
Image ColorizationColor3D: Controllable and Consistent 3D Colorization with Personalized Colorizer
In this work, we present Color3D, a highly adaptable framework for colorizing both static and dynamic 3D scenes from monochromatic inputs, delivering visually diverse and chromatically vibrant reconstructions with flexib…
Image ColorizationUnderstanding SOAP from the Perspective of Gradient Whitening
Shampoo with Adam in the Preconditioner's eigenbasis (SOAP) has recently emerged as a promising optimization algorithm for neural network training, achieving superior training efficiency over both Adam and Shampoo in lan…
Image ColorizationExploring Palette based Color Guidance in Diffusion Models
With the advent of diffusion models, Text-to-Image (T2I) generation has seen substantial advancements. Current T2I models allow users to specify object colors using linguistic color names, and some methods aim to persona…
Image ColorizationAutomatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks
Image colorization, the task of adding colors to grayscale images, has been the focus of significant research efforts in computer vision in recent years for its various application areas such as color restoration and aut…
Image ColorizationMTSIC: Multi-stage Transformer-based GAN for Spectral Infrared Image Colorization
Thermal infrared (TIR) images, acquired through thermal radiation imaging, are unaffected by variations in lighting conditions and atmospheric haze. However, TIR images inherently lack color and texture information, limi…
ColorizationGenerative Adversarial NetworkImage ColorizationLeveraging the Powerful Attention of a Pre-trained Diffusion Model for Exemplar-based Image Colorization
Exemplar-based image colorization aims to colorize a grayscale image using a reference color image, ensuring that reference colors are applied to corresponding input regions based on their semantic similarity. To achieve…
ColorizationImage ColorizationSemantic SimilaritySemantic Textual SimilarityControllable Image Colorization with Instance-aware Texts and Masks
Recently, the application of deep learning in image colorization has received widespread attention. The maturation of diffusion models has further advanced the development of image colorization models. However, current m…
ColorizationImage ColorizationA GAN-Enhanced Deep Learning Framework for Rooftop Detection from Historical Aerial Imagery
Accurate rooftop detection from historical aerial imagery is vital for examining long-term urban development and human settlement patterns. However, black-and-white analog photographs pose significant challenges for mode…
ColorizationImage ColorizationImage Enhancementobject-detection+2Language-based Image Colorization: A Benchmark and Beyond
Image colorization aims to bring colors back to grayscale images. Automatic image colorization methods, which requires no additional guidance, struggle to generate high-quality images due to color ambiguity, and provides…
BenchmarkingColorizationcross-modal alignmentImage ColorizationColorFlow: Retrieval-Augmented Image Sequence Colorization
Automatic black-and-white image sequence colorization while preserving character and object identity (ID) is a complex task with significant market demand, such as in cartoon or comic series colorization. Despite advance…
ColorizationImage ColorizationIn-Context LearningRetrievalStructurally Consistent MRI Colorization using Cross-modal Fusion Learning
Medical image colorization can greatly enhance the interpretability of the underlying imaging modality and provide insights into human anatomy. The objective of medical image colorization is to transfer a diverse spectru…
AnatomyColorizationFeature CompressionImage ColorizationLearning Spatially Decoupled Color Representations for Facial Image Colorization
Image colorization methods have shown prominent performance on natural images. However, since humans are more sensitive to faces, existing methods are insufficient to meet the demands when applied to facial images, typic…
ColorizationFace ParsingImage ColorizationTransforming Color: A Novel Image Colorization Method
This paper introduces a novel method for image colorization that utilizes a color transformer and generative adversarial networks (GANs) to address the challenge of generating visually appealing colorized images. Convent…
ColorizationImage Colorization