Papers Colorization
“Colorization” 태그가 달린 논문 367편 · 필터 해제
Principal 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 ColorizationSelf-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization
3D Skeleton-based human action recognition has attracted increasing attention in recent years. Most of the existing work focuses on supervised learning which requires a large number of labeled action sequences that are o…
3D Action RecognitionAction RecognitionColorizationRepresentation Learning+3SPColor: 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 correspondenceGenerative Diffusion Prior for Unified Image Restoration and Enhancement
Existing image restoration methods mostly leverage the posterior distribution of natural images. However, they often assume known degradation and also require supervised training, which restricts their adaptation to comp…
ColorizationDeblurringDenoisingImage Restoration+2Exemplar-based Video Colorization with Long-term Spatiotemporal Dependency
Exemplar-based video colorization is an essential technique for applications like old movie restoration. Although recent methods perform well in still scenes or scenes with regular movement, they always lack robustness i…
ColorizationSVCNet: Scribble-based Video Colorization Network with Temporal Aggregation
In this paper, we propose a scribble-based video colorization network with temporal aggregation called SVCNet. It can colorize monochrome videos based on different user-given color scribbles. It addresses three common is…
ColorizationSuper-ResolutionAnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models
It is a time-consuming and tedious work for manually colorizing anime line drawing images, which is an essential stage in cartoon animation creation pipeline. Reference-based line drawing colorization is a challenging ta…
ColorizationImage ReconstructionUnsupervised Deep Digital Staining For Microscopic Cell Images Via Knowledge Distillation
Staining is critical to cell imaging and medical diagnosis, which is expensive, time-consuming, labor-intensive, and causes irreversible changes to cell tissues. Recent advances in deep learning enabled digital staining …
ColorizationKnowledge DistillationMedical DiagnosisConsistency Models
Diffusion models have significantly advanced the fields of image, audio, and video generation, but they depend on an iterative sampling process that causes slow generation. To overcome this limitation, we propose consist…
ColorizationImage GenerationImage InpaintingSuper-Resolution+1TextIR: 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+2Tuning computer vision models with task rewards
Misalignment between model predictions and intended usage can be detrimental for the deployment of computer vision models. The issue is exacerbated when the task involves complex structured outputs, as it becomes harder …
ColorizationImage Captioningobject-detectionObject Detection+3Self-supervised pseudo-colorizing of masked cells
Self-supervised learning, which is strikingly referred to as the dark matter of intelligence, is gaining more attention in biomedical applications of deep learning. In this work, we introduce a novel self-supervision obj…
Cell DetectionColorizationContrastive LearningSelf-Supervised Learning+1SSR-2D: Semantic 3D Scene Reconstruction from 2D Images
Most deep learning approaches to comprehensive semantic modeling of 3D indoor spaces require costly dense annotations in the 3D domain. In this work, we explore a central 3D scene modeling task, namely, semantic scene re…
3D geometry3D Scene ReconstructionColorizationSemantic SegmentationHigh-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets
The last decades are marked by massive and diverse image data, which shows increasingly high resolution and quality. However, some images we obtained may be corrupted, affecting the perception and the application of down…
ClusteringColorizationSuper-ResolutionVocal Bursts Intensity PredictionEnergy-Inspired Self-Supervised Pretraining for Vision Models
Motivated by the fact that forward and backward passes of a deep network naturally form symmetric mappings between input and output representations, we introduce a simple yet effective self-supervised vision model pretra…
ColorizationDecoderDenoisingImage Restoration+1Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
Guided diffusion is a technique for conditioning the output of a diffusion model at sampling time without retraining the network for each specific task. One drawback of diffusion models, however, is their slow sampling p…
ColorizationImage GenerationSuper-ResolutionText to Image Generation+1Improving Sketch Colorization using Adversarial Segmentation Consistency
We propose a new method for producing color images from sketches. Current solutions in sketch colorization either necessitate additional user instruction or are restricted to the "paired" translation strategy. We leverag…
ColorizationImage SegmentationPanoptic SegmentationSegmentation+3