Transparency Separation
1 papers with code • 0 benchmarks • 0 datasets
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Latest papers with no code
Image Restoration from Parametric Transformations using Generative Models
When images are statistically described by a generative model we can use this information to develop optimum techniques for various image restoration problems as inpainting, super-resolution, image coloring, generative model inversion, etc.
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors
It was shown [Ulyanov et al] that the structure of a single DIP generator network is sufficient to capture the low-level statistics of a single image.
