Papers Colorization
“Colorization” 태그가 달린 논문 367편 · 필터 해제
Transforming 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 ColorizationL-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 ColorizationComputer-aided Colorization State-of-the-science: A Survey
This paper reviews published research in the field of computer-aided colorization technology. We argue that the colorization task originates from computer graphics, prospers by introducing computer vision, and tends to t…
ColorizationSurveyPixelShuffler: 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+3LVCD: Reference-based Lineart Video Colorization with Diffusion Models
We propose the first video diffusion framework for reference-based lineart video colorization. Unlike previous works that rely solely on image generative models to colorize lineart frame by frame, our approach leverages …
ColorizationControlCol: Controllability in Automatic Speaker Video Colorization
Adding color to black-and-white speaker videos automatically is a highly desirable technique. It is an artistic process that requires interactivity with humans for the best results. Many existing automatic video coloriza…
ColorizationSSIMMultiColor: 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+6Towards 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+2LatentColorization: Latent Diffusion-Based Speaker Video Colorization
While current research predominantly focuses on image-based colorization, the domain of video-based colorization remains relatively unexplored. Most existing video colorization techniques operate on a frame-by-frame basi…
ColorizationMulti-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 ColorizationTranslationMultimodal Semantic-Aware Automatic Colorization with Diffusion Prior
Colorizing grayscale images offers an engaging visual experience. Existing automatic colorization methods often fail to generate satisfactory results due to incorrect semantic colors and unsaturated colors. In this work,…
ColorizationDecoderDiversityComPC: Completing a 3D Point Cloud with 2D Diffusion Priors
3D point clouds directly collected from objects through sensors are often incomplete due to self-occlusion. Conventional methods for completing these partial point clouds rely on manually organized training sets and are …
ColorizationPoint Cloud CompletionColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization
How to effectively explore spatial-temporal features is important for video colorization. Instead of stacking multiple frames along the temporal dimension or recurrently propagating estimated features that will accumulat…
ColorizationAutomatic Controllable Colorization via Imagination
We propose a framework for automatic colorization that allows for iterative editing and modifications. The core of our framework lies in an imagination module: by understanding the content within a grayscale image, we ut…
ColorizationImage GenerationGenN2N: Generative NeRF2NeRF Translation
We present GenN2N, a unified NeRF-to-NeRF translation framework for various NeRF translation tasks such as text-driven NeRF editing, colorization, super-resolution, inpainting, etc. Unlike previous methods designed for i…
ColorizationContrastive LearningNeRFSuper-Resolution+1Translation-based Video-to-Video Synthesis
Translation-based Video Synthesis (TVS) has emerged as a vital research area in computer vision, aiming to facilitate the transformation of videos between distinct domains while preserving both temporal continuity and un…
ColorizationImage-to-Image TranslationSuper-ResolutionTranslation+2Generative Quanta Color Imaging
The astonishing development of single-photon cameras has created an unprecedented opportunity for scientific and industrial imaging. However, the high data throughput generated by these 1-bit sensors creates a significan…
ColorizationLearning Inclusion Matching for Animation Paint Bucket Colorization
Colorizing line art is a pivotal task in the production of hand-drawn cel animation. This typically involves digital painters using a paint bucket tool to manually color each segment enclosed by lines, based on RGB value…
ColorizationLift3D: 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+1