Papers Colorization
“Colorization” 태그가 달린 논문 367편 · 필터 해제
Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation
In this paper, we aim to address the unmet demand for automated prompting and enhanced human-model interactions of SAM and SAM2 for the sake of promoting their widespread clinical adoption. Specifically, we propose Proxy…
ColorizationMambaConsistent Video Colorization via Palette Guidance
Colorization is a traditional computer vision task and it plays an important role in many time-consuming tasks, such as old film restoration. Existing methods suffer from unsaturated color and temporally inconsistency. I…
ColorizationVanGogh: A Unified Multimodal Diffusion-based Framework for Video Colorization
Video colorization aims to transform grayscale videos into vivid color representations while maintaining temporal consistency and structural integrity. Existing video colorization methods often suffer from color bleeding…
ColorizationOptical Flow EstimationSwinTExCo: Exemplar-based video colorization using Swin Transformer
Video colorization represents a compelling domain within the field of Computer Vision. The traditional approach in this field relies on Convolutional Neural Networks (CNNs) to extract features from each video frame and e…
ColorizationVideo RestorationMangaNinja: Line Art Colorization with Precise Reference Following
Derived from diffusion models, MangaNinjia specializes in the task of reference-guided line art colorization. We incorporate two thoughtful designs to ensure precise character detail transcription, including a patch shuf…
ColorizationLine Art ColorizationGenerative AI for Cel-Animation: A Survey
Traditional Celluloid (Cel) Animation production pipeline encompasses multiple essential steps, including storyboarding, layout design, keyframe animation, inbetweening, and colorization, which demand substantial manual …
ColorizationLayout DesignSurveySVFR: A Unified Framework for Generalized Video Face Restoration
Face Restoration (FR) is a crucial area within image and video processing, focusing on reconstructing high-quality portraits from degraded inputs. Despite advancements in image FR, video FR remains relatively under-explo…
ColorizationRepresentation LearningSelf-Supervised Cross-View Correspondence with Predictive Cycle Consistency
Learning self-supervised visual correspondence is a long-studied task fundamental to visual understanding and human perception. However, existing correspondence methods largely focus on small image transformations, s…
ColorizationImitation LearningObject TrackingAniDoc: Animation Creation Made Easier
The production of 2D animation follows an industry-standard workflow, encompassing four essential stages: character design, keyframe animation, in-betweening, and coloring. Our research focuses on reducing the labor cost…
ColorizationLine Art ColorizationEnabling Region-Specific Control via Lassos in Point-Based Colorization
Point-based interactive colorization techniques allow users to effortlessly colorize grayscale images using user-provided color hints. However, point-based methods often face challenges when different colors are given to…
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 LearningRetrievalLearned Compression for Compressed Learning
Modern sensors produce increasingly rich streams of high-resolution data. Due to resource constraints, machine learning systems discard the vast majority of this information via resolution reduction. Compressed-domain le…
Colorizationdocument understandingimage-classificationImage Classification+1Structurally 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 ColorizationEnhancing Sample Generation of Diffusion Models using Noise Level Correction
The denoising process of diffusion models can be interpreted as an approximate projection of noisy samples onto the data manifold. Moreover, the noise level in these samples approximates their distance to the underlying …
Colorizationcompressed sensingDeblurringDenoising+2Paint Bucket Colorization Using Anime Character Color Design Sheets
Line art colorization plays a crucial role in hand-drawn animation production, where digital artists manually colorize segments using a paint bucket tool, guided by RGB values from character color design sheets. This pro…
ColorizationLine Art ColorizationArCSEM: Artistic Colorization of SEM Images via Gaussian Splatting
Scanning Electron Microscopes (SEMs) are widely renowned for their ability to analyze the surface structures of microscopic objects, offering the capability to capture highly detailed, yet only grayscale, images. To crea…
ColorizationNovel View SynthesisGroup Diffusion Transformers are Unsupervised Multitask Learners
While large language models (LLMs) have revolutionized natural language processing with their task-agnostic capabilities, visual generation tasks such as image translation, style transfer, and character customization sti…
ArticlesColorizationStyle TransferEvaluating the Impact of Point Cloud Colorization on Semantic Segmentation Accuracy
Point cloud semantic segmentation, the process of classifying each point into predefined categories, is essential for 3D scene understanding. While image-based segmentation is widely adopted due to its maturity, methods …
ColorizationPoint Cloud SegmentationScene UnderstandingSegmentation+1Learning Gaussian Data Augmentation in Feature Space for One-shot Object Detection in Manga
We tackle one-shot object detection in Japanese Manga. The rising global popularity of Japanese manga has made the object detection of character faces increasingly important, with potential applications such as automatic…
ColorizationData AugmentationObjectobject-detection+2