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Free prostitution, high-end games skyrocketed 30fps, how did N card do it?
Hi everyone, I'm Xiao Jiang. Most gamers have two main concerns: one is how to increase frame rate in game, and other is how to improve image quality in game. In case of limited graphics card performance, image quality and frame rate cannot be achieved at the same time. If you want everything, then add money!
Problems that can be solved with money are not problems, key is that there is no money! So how do you get better performance without spending money? Just one button and you can increase frame rate in game and even improve image quality. How it's done? Today we'll talk about what is DLSS2.0 (Popeye) N cards?
DLSS's full name is Deep Learning Super Sampling, and it only came into public eye when 20-series graphics cards were released. game image models. Simply put, AI cannot create high resolution images on low resolution game screens by relying on deep learning.
While this may improve frame rates, not everyone can tolerate loss in image quality. DLSS technology is also controversial and there is always a feeling that everything is available. But with version 2.0 of phenomenon, DLSS really got a taste of civilian Ferrari. Nothing to say, let's upload two comparison pictures first:
You can see that number of frames has increased by 20 frames without much change in image quality. DLSS already has a certain level of image processing, which means real fake ones. DLSS will have sharpening marks on some parts, but these are usually difficult to distinguish.
How does DLSS 2.0 achieve this effect? When you turn on DLSS button, game engine renders game at low resolution and then reconstructs high sample rate image at a low sample rate. In DLSS1.0 version, turning a low-resolution image into a high-resolution image by AI machine learning not only requires a lot of special game adaptation, but also effect of the generated image is unsatisfactory.
In DLSS2.0, AI distributes these multiple samples over multiple frames, gets multi-frame composite samples, and reconstructs image, similar to multi-frame composite image on mobile phones. Unlike multi-frame video resampling, real-time in-game rendering can process image better due to precise motion vector of each pixel. The unique feature of DLSS2.0 is to abandon the previous manual adjustment algorithm and replace it with a neural network trained on tens of thousands of ultra-high quality images to avoid blurry game screen details.
Overall, DLSS 2.0 brings a whole new set of changes to game. After all, when hardware performance remains same, higher frame rates and image quality have always been what gamers have been striving for. DLSS2.0 balances needs of gamers well in these two aspects. The meaning of DLSS lies not only in present, when you ever hold a Switch-sized screen, you can enjoy smooth 4K 60fps playback. gamer, you have too many places I want to see, but DLSS2.0 currently supports a relatively small number of games. With addition of more game manufacturers in future, it may be difficult for AMD to shake status of N cards in a short time.
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