Papers Colorization
“Colorization” 태그가 달린 논문 367편 · 필터 해제
MTSIC: 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 ColorizationSelf-supervised Feature Extraction for Enhanced Ball Detection on Soccer Robots
Robust and accurate ball detection is a critical component for autonomous humanoid soccer robots, particularly in dynamic and challenging environments such as RoboCup outdoor fields. However, traditional supervised appro…
ColorizationEdge DetectionMeta-LearningSelf-Supervised Learning+1Exploiting the Exact Denoising Posterior Score in Training-Free Guidance of Diffusion Models
The success of diffusion models has driven interest in performing conditional sampling via training-free guidance of the denoising process to solve image restoration and other inverse problems. A popular class of methods…
ColorizationDenoisingImage RestorationSuper-ResolutionSSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization
We propose a novel diffusion-based framework for automatic colorization of Anime-style facial sketches. Our method preserves the structural fidelity of the input sketch while effectively transferring stylistic attributes…
ColorizationSSIMRestoring Real-World Images with an Internal Detail Enhancement Diffusion Model
Restoring real-world degraded images, such as old photographs or low-resolution images, presents a significant challenge due to the complex, mixed degradations they exhibit, such as scratches, color fading, and noise. Re…
ColorizationDenoisingLeveraging 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 ColorizationColorVein: Colorful Cancelable Vein Biometrics
Vein recognition technologies have become one of the primary solutions for high-security identification systems. However, the issue of biometric information leakage can still pose a serious threat to user privacy and ano…
ColorizationCobra: Efficient Line Art COlorization with BRoAder References
The comic production industry requires reference-based line art colorization with high accuracy, efficiency, contextual consistency, and flexible control. A comic page often involves diverse characters, objects, and back…
ColorizationImage GenerationLine Art ColorizationDigital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Data
Staining is essential in cell imaging and medical diagnostics but poses significant challenges, including high cost, time consumption, labor intensity, and irreversible tissue alterations. Recent advances in deep learnin…
ColorizationKnowledge DistillationColorizeDiffusion v2: Enhancing Reference-based Sketch Colorization Through Separating Utilities
Reference-based sketch colorization methods have garnered significant attention due to their potential applications in the animation production industry. However, most existing methods are trained with image triplets of …
ColorizationSketch 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+2Tracktention: Leveraging Point Tracking to Attend Videos Faster and Better
Temporal consistency is critical in video prediction to ensure that outputs are coherent and free of artifacts. Traditional methods, such as temporal attention and 3D convolution, may struggle with significant object mot…
ColorizationDepth EstimationDepth PredictionPoint Tracking+2MagicColor: Multi-Instance Sketch Colorization
We present \textit{MagicColor}, a diffusion-based framework for multi-instance sketch colorization. The production of multi-instance 2D line art colorization adheres to an industry-standard workflow, which consists of th…
ColorizationLine Art ColorizationSketch ColorizationLanguage-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 ColorizationSuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization
Point cloud (PC) processing tasks-such as completion, upsampling, denoising, and colorization-are crucial in applications like autonomous driving and 3D reconstruction. Despite substantial advancements, prior approaches …
3D ReconstructionAutonomous DrivingColorizationDenoising+1Image Referenced Sketch Colorization Based on Animation Creation Workflow
Sketch colorization plays an important role in animation and digital illustration production tasks. However, existing methods still meet problems in that text-guided methods fail to provide accurate color and style refer…
ColorizationSketch ColorizationDeep-JGAC: End-to-End Deep Joint Geometry and Attribute Compression for Dense Colored Point Clouds
Colored point cloud becomes a fundamental representation in the realm of 3D vision. Effective Point Cloud Compression (PCC) is urgently needed due to huge amount of data. In this paper, we propose an end-to-end Deep Join…
AttributeColorizationNovel computational workflows for natural and biomedical image processing based on hypercomplex algebras
Hypercomplex image processing extends conventional techniques in a unified paradigm encompassing algebraic and geometric principles. This work leverages quaternions and the two-dimensional orthogonal planes split framewo…
ColorizationOvercoming Fake Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan
We address the convergence problem in learning the Optimal Transport (OT) map, where the OT Map refers to a map from one distribution to another while minimizing the transport cost. Semi-dual Neural OT, a widely used app…
ColorizationImage-to-Image Translation