The Effect of Images

Since human beings first lived on Earth, the influence of the image existed. Plato called them a mimic imitation. The Old Testament warns believers about their evil nature and curses those who produce them. While spending time trying to figure out what they mean, others are concerned about their existence. No matter what you think, it is almost impossible to deny the power of images. From use in advertisements to use in religion, images have strong power to human behavior and emotions.

The common point between Bowhard and postmodernism is the concept of "image". The social impact of images can not be denied. Everyday I am consuming analog images through the internet, TV and other media. These images are a tool of force that deviates from the real image and gives us a new image. In the capitalist world, the image itself can be regarded as consumer goods. Baudrillard discusses this concept with his book Mirror of Production, boldly calls on the end of modernism to point out the symbolic value of things, and points out that the image has the same or more value than the product itself . Therefore, the image business is more beneficial. In post-modern world, real events are dramatic or simulated images. Boriyar did not have the fact that in the war of golf, rules of warf changed in a totally different way from the past. It is simply scaled down to the image of the TV screen or media channel

Image resolution is the ability of the camera to recognize images. It directly affects the effect of the image. Resolution can generally be divided into image resolution and video resolution, ie static screen capture resolution and dynamic screen capture resolution. For practical applications of video conferencing, the resolution of the image is usually higher than the resolution of the video. As video conferencing equipment manufacturer videoconferencing camera can give different kind of resolution, pay attention to purchase, some logo resolution can realize interpolation resolution software referring to the use of these products However, there is still a certain gap between hardware and resolution comparison

Recent major GAN applications include, for example, increasingly higher resolution image generation, conversion from one domain to another domain, unmarked image pairs, image classification with only a few labeled samples, and Conversion included. By modifying an existing image, for example super-resolved or synthesized "toy image" to a more realistic image. Beyond the scope of this article, the range of application changes will become increasingly broad, with supervised or semi-supervised (like class) scenarios (StackGAN already has the most advanced image generation in several respects, for example) It applies to. Model GAN ​​with region adaptation model and discrete variables is also related to reinforcement learning (RL). For example, in the case of reverse RL, the learning task involves restoring the reward function itself as well as learning the discriminator in the GAN.