Point-interactive Image Colorization
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Benchmarks
Most implemented
Real-Time User-Guided Image Colorization with Learned Deep Priors
Instance-aware Image Colorization
iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by Leveraging Vision Transformer
Side Window Filtering
Papers
iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by Leveraging Vision Transformer
Point-interactive image colorization aims to colorize grayscale images when a user provides the colors for specific locations. It is essential for point-interactive colorization methods to appropriately propagate user-pr…
ColorizationDecoderImage ColorizationPoint-interactive Image ColorizationInstance-aware Image Colorization
Image colorization is inherently an ill-posed problem with multi-modal uncertainty. Previous methods leverage the deep neural network to map input grayscale images to plausible color outputs directly. Although these lear…
ColorizationImage ColorizationObjectPoint-interactive Image ColorizationSide Window Filtering
Local windows are routinely used in computer vision and almost without exception the center of the window is aligned with the pixels being processed. We show that this conventional wisdom is not universally applicable. W…
ColorizationDenoisingimage smoothingPoint-interactive Image Colorization+1Real-Time User-Guided Image Colorization with Learned Deep Priors
We propose a deep learning approach for user-guided image colorization. The system directly maps a grayscale image, along with sparse, local user "hints" to an output colorization with a Convolutional Neural Network (CNN…
ColorizationImage ColorizationPoint-interactive Image Colorization