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SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color
Jo and Park: https://arxiv.org/abs/1902.06838f
GitHub: https://github.com/JoYoungjoo/SC-FEGAN
#ComputerVision #GenerativeAdversarialNetwork #PatternRecognition
Jo and Park: https://arxiv.org/abs/1902.06838f
GitHub: https://github.com/JoYoungjoo/SC-FEGAN
#ComputerVision #GenerativeAdversarialNetwork #PatternRecognition
Attentive Generative Adversarial Network for Raindrop Removal from A Single Image
Abstract : "Raindrops adhered to a glass window or camera lens can severely hamper the visibility of a background scene and degrade an image considerably. In this paper, we address the problem by visually removing raindrops, and thus transforming a raindrop degraded image into a clean one. The problem is intractable, since first the regions occluded by raindrops are not given. Second, the information about the background scene of the occluded regions is completely lost for most part. To resolve the problem, we apply an attentive generative network using adversarial training (...)."
Qian et al.: https://arxiv.org/pdf/1711.10098.pdf
#artificialintelligence #deeplearning #generativeadversarialnetwork
Abstract : "Raindrops adhered to a glass window or camera lens can severely hamper the visibility of a background scene and degrade an image considerably. In this paper, we address the problem by visually removing raindrops, and thus transforming a raindrop degraded image into a clean one. The problem is intractable, since first the regions occluded by raindrops are not given. Second, the information about the background scene of the occluded regions is completely lost for most part. To resolve the problem, we apply an attentive generative network using adversarial training (...)."
Qian et al.: https://arxiv.org/pdf/1711.10098.pdf
#artificialintelligence #deeplearning #generativeadversarialnetwork
Attentive Generative Adversarial Network for Raindrop Removal from A Single Image
Abstract : "Raindrops adhered to a glass window or camera lens can severely hamper the visibility of a background scene and degrade an image considerably. In this paper, we address the problem by visually removing raindrops, and thus transforming a raindrop degraded image into a clean one. The problem is intractable, since first the regions occluded by raindrops are not given. Second, the information about the background scene of the occluded regions is completely lost for most part. To resolve the problem, we apply an attentive generative network using adversarial training (...)."
Qian et al.: https://arxiv.org/pdf/1711.10098.pdf
#artificialintelligence #deeplearning #generativeadversarialnetwork
Abstract : "Raindrops adhered to a glass window or camera lens can severely hamper the visibility of a background scene and degrade an image considerably. In this paper, we address the problem by visually removing raindrops, and thus transforming a raindrop degraded image into a clean one. The problem is intractable, since first the regions occluded by raindrops are not given. Second, the information about the background scene of the occluded regions is completely lost for most part. To resolve the problem, we apply an attentive generative network using adversarial training (...)."
Qian et al.: https://arxiv.org/pdf/1711.10098.pdf
#artificialintelligence #deeplearning #generativeadversarialnetwork
AI Portraits of You
"AI Portraits Ars is able to paint portraits in real time at 4k resolution. You will find yourself in front of a mirror and feel thousands Rembrandt, Caravaggio, Titian portraying you moment after moment."
By MIT-IBM Watson AI Lab: https://aiportraits.com/#
#DeepLearning #GenerativeAdversarialNetwork #GAN
"AI Portraits Ars is able to paint portraits in real time at 4k resolution. You will find yourself in front of a mirror and feel thousands Rembrandt, Caravaggio, Titian portraying you moment after moment."
By MIT-IBM Watson AI Lab: https://aiportraits.com/#
#DeepLearning #GenerativeAdversarialNetwork #GAN