To address the issue, we propose a general transformation method for cross-camera RAW to RGB mapping based on Generative Adversarial Network (GAN). Moreover, we ...
To address the issue, we propose a general transformation method for cross-camera. RAW to RGB mapping based on Generative Adversarial. Network (GAN). Moreover, ...
Saliency Map-Aided Generative Adversarial Network for RAW to ...
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To address the issue, we propose a general transformation method for cross-camera RAW to RGB mapping based on Generative Adversarial Network (GAN). Moreover, we ...
Oct 27, 2019 · To address the issue, we propose a general transformation method for cross-camera RAW to RGB mapping based on Generative Adversarial Network ( ...
Saiency Map-aided GAN for RAW2RGB Mapping. The PyTorch implementations and guideline for Saiency Map-aided GAN for RAW2RGB Mapping.
This paper reviews the first AIM challenge on mapping camera RAW to RGB images with the focus on proposed solutions and results.
To address the issue, we propose a general transformation method for cross-camera RAW to RGB mapping based on Generative Adversarial Network (GAN). Moreover, we ...
The SCGAN intergrates the low-level and high-level semantic information and understands how to genrate a reasonable colorization.
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This paper reviews the first AIM challenge on mapping camera RAW toRGB images with the focus on proposed solutions and results, defining the ...
SCGAN: Saliency map-guided colorization with generative adversarial network ... Saliency map-aided generative adversarial network for raw to rgb mapping. Y ...