Colorization
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Benchmarks
ImageNet val
ImageNet ctest10k
Most implemented
Image-to-Image Translation with Conditional Adversarial Networks
Colorful Image Colorization
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
Consistency Models
Score-Based Generative Modeling through Stochastic Differential Equations
Joint Intensity-Gradient Guided Generative Modeling for Colorization
Papers
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 Similarity