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Found 4 papers, 1 papers with code
Learning Degradation-Independent Representations for Camera ISP Pipelines
Image signal processing (ISP) pipeline plays a fundamental role in digital cameras, which converts raw Bayer sensor data to RGB images.
Self-Supervised Face Image Restoration with a One-Shot Reference
For image restoration, methods leveraging priors from generative models have been proposed and demonstrated a promising capacity to robustly restore photorealistic and high-quality results.
Functional Neural Networks for Parametric Image Restoration Problems
In this work, we propose a novel system called functional neural network (FuncNet) to solve a parametric image restoration problem with a single model.
Maximum a Posteriori on a Submanifold: a General Image Restoration Method with GAN
We propose a general method for various image restoration problems, such as denoising, deblurring, super-resolution and inpainting.
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