Image Colorization
53 papers with code • 2 benchmarks • 2 datasets
ImageNet
CelebA
Most implemented papers
Nanoscale Microscopy Images Colorization Using Neural Networks
Microscopy images are powerful tools and widely used in the majority of research areas, such as biology, chemistry, physics and materials fields by various microscopies (scanning electron microscope (SEM), atomic force microscope (AFM) and the optical microscope, et al.).
Modulating Bottom-Up and Top-Down Visual Processing via Language-Conditional Filters
ilkerkesen/bvpr
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Our experiments reveal that using language to control the filters for bottom-up visual processing in addition to top-down attention leads to better results on both tasks and achieves competitive performance.
DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation
winfried-loetzsch/deep-hist
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Promising results are shown for the tasks of color transfer, image colorization and edges $\rightarrow$ photo, where the color distribution of the output image is controlled.
Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation
aamir-mustafa/Transformation-CR
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Scarcity of labeled data has motivated the development of semi-supervised learning methods, which learn from large portions of unlabeled data alongside a few labeled samples.
Image Colorization: A Survey and Dataset
Image colorization is the process of estimating RGB colors for grayscale images or video frames to improve their aesthetic and perceptual quality.
Generating Images with Sparse Representations
benjs/DCTransformer-PyTorch
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The high dimensionality of images presents architecture and sampling-efficiency challenges for likelihood-based generative models.
VCGAN: Video Colorization with Hybrid Generative Adversarial Network
zhaoyuzhi/VCGAN
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We propose a hybrid recurrent Video Colorization with Hybrid Generative Adversarial Network (VCGAN), an improved approach to video colorization using end-to-end learning.
Thermal Infrared Image Colorization for Nighttime Driving Scenes with Top-Down Guided Attention
FuyaLuo/PearlGAN
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Furthermore, a new metric is devised to evaluate the geometric consistency in the translation process.
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation
We introduce a new architecture called a conditional invertible neural network (cINN), and use it to address the task of diverse image-to-image translation for natural images.
Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects
Deep neural networks for automatic image colorization often suffer from the color-bleeding artifact, a problematic color spreading near the boundaries between adjacent objects.
