Papers Colorization
“Colorization” 태그가 달린 논문 367편 · 필터 해제
L-CoIns: Language-Based Colorization With Instance Awareness
Language-based colorization produces plausible colors consistent with the language description provided by the user. Recent studies introduce additional annotation to prevent color-object coupling and mismatch issues…
ColorizationDescriptiveObjectDDColor: 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 ColorizationAttention-Aware Anime Line Drawing Colorization
Automatic colorization of anime line drawing has attracted much attention in recent years since it can substantially benefit the animation industry. User-hint based methods are the mainstream approach for line drawing co…
ColorizationSemantic correspondenceBi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors
Conditional diffusion probabilistic models can model the distribution of natural images and can generate diverse and realistic samples based on given conditions. However, oftentimes their results can be unrealistic with …
ColorizationRain RemovalSuper-ResolutionWeakly Supervised Semantic Segmentation for Large-Scale Point Cloud
Existing methods for large-scale point cloud semantic segmentation require expensive, tedious and error-prone manual point-wise annotations. Intuitively, weakly supervised training is a direct solution to reduce the cost…
ColorizationPseudo LabelSelf-Supervised LearningSemantic Segmentation+2BiSTNet: Semantic Image Prior Guided Bidirectional Temporal Feature Fusion for Deep Exemplar-based Video Colorization
How to effectively explore the colors of reference exemplars and propagate them to colorize each frame is vital for exemplar-based video colorization. In this paper, we present an effective BiSTNet to explore colors of r…
ColorizationSemantic correspondenceZero-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-ResolutionDiffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
With the rapid development of diffusion models and flow-based generative models, there has been a surge of interests in solving noisy linear inverse problems, e.g., super-resolution, deblurring, denoising, colorization, …
ColorizationDeblurringDenoisingImage Super-Resolution+1CRONOS: Colorization and Contrastive Learning for Device-Free NLoS Human Presence Detection using Wi-Fi CSI
In recent years, the demand for pervasive smart services and applications has increased rapidly. Device-free human detection through sensors or cameras has been widely adopted, but it comes with privacy issues as well as…
ColorizationContrastive LearningHuman DetectionGuiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization
Existing deep interactive colorization models have focused on ways to utilize various types of interactions, such as point-wise color hints, scribbles, or natural-language texts, as methods to reflect a user's intent at …
ColorizationImage ColorizationSketch ColorizationCT2: Colorization Transformer via Color Tokens
Automatic image colorization is an ill-posed problem with multi-modal uncertainty, and there remains two main challenges with previous methods: incorrect semantic colors and under-saturation. In this paper, we propose an…
ColorizationImage ColorizationPalGAN: Image Colorization with Palette Generative Adversarial Networks
Multimodal ambiguity and color bleeding remain challenging in colorization. To tackle these problems, we propose a new GAN-based colorization approach PalGAN, integrated with palette estimation and chromatic attention. T…
ColorizationImage ColorizationReference Based Color Transfer for Medical Volume Rendering
The benefits of medical imaging are enormous. Medical images provide considerable amounts of anatomical information and this facilitates medical practitioners in performing effective disease diagnosis and deciding upon t…
ColorizationSemantic correspondenceAction Matching: Learning Stochastic Dynamics from Samples
Learning the continuous dynamics of a system from snapshots of its temporal marginals is a problem which appears throughout natural sciences and machine learning, including in quantum systems, single-cell biological data…
ColorizationSuper-ResolutionInvertible Rescaling Network and Its Extensions
Image rescaling is a commonly used bidirectional operation, which first downscales high-resolution images to fit various display screens or to be storage- and bandwidth-friendly, and afterward upscales the corresponding …
ColorizationImage CompressionImage RescalingUniColor: A Unified Framework for Multi-Modal Colorization with Transformer
We propose the first unified framework UniColor to support colorization in multiple modalities, including both unconditional and conditional ones, such as stroke, exemplar, text, and even a mix of them. Rather than learn…
ColorizationExemplar-Based Image Colorization with A Learning Framework
Image learning and colorization are hot spots in multimedia domain. Inspired by the learning capability of humans, in this paper, we propose an automatic colorization method with a learning framework. This method can be …
ColorizationImage Colorization