Ai upscale video open source Pc#
Ai upscale video open source series#
Ai upscale video open source tv#

The technology will enable current computers to run newer and more complex games for longer, and for current titles, lead to substantially improved frames per second (FPS) rendering.

Ai upscale video open source Pc#

While fewer than 50 PC games support the latest version of DLSS at the time of this writing, the results so far have been extremely promising. Combined with motion vector data, the neural network was tasked with not only filling in the necessary visual information to make the low resolution image better approximate the idealistic target, but predict what the next frame of animation might look like. To maximize the results, the high resolution images were rendered at a level of detail that would be computationally impractical or even impossible to achieve in real-time. In the case of DLSS, NVIDIA trained their neural network by taking low and high resolution images of the same game and having their in-house supercomputer analyze the differences. To address this fundamental issue, AI-enhanced scaling actually creates new visual data to fill in the gaps between the source and target resolutions. Taking a 720 x 480 image and pushing it up to 1920 x 1080, or even 3840 x 2160 in the case of 4K, is going to lead to some pretty obvious image degradation. But it doesnвЂ™t take a particularly keen eye to immediately tell the difference between a DVD thatвЂ™s been blown up to fit an HD display and modern content actually produced at that resolution.

Ai upscale video open source tv#

You can take a standard resolution video and scale it up to high definition easily enough, and indeed, your TV or Blu-ray player is doing exactly that when you watch older content. Obviously, you donвЂ™t need machine learning to resize an image. Rather than saturating your Internet connection with a 16K video stream, will TVs of the future simply make the best of what they have using a machine learning algorithm trained on popular shows and movies? If Nintendo and NVIDIA can prove DLSS to be viable on something as small as the Switch, weвЂ™ll likely see the technology come to future smartphones and tablets to make up for their relatively limited GPUs.Д«ut why stop there? If artificial intelligence systems like DLSS can scale up a video game, it stands to reason the same techniques could be applied to other forms of content. For the Switch, which doubles as a battery powered handheld when removed from its dock, the use of DLSS could allow it to produce visuals similar to the far larger and more expensive Xbox and PlayStation systems itвЂ™s in competition with.

The implications of this technology, especially on computationally limited devices, is immense.

So rather than tasking the GPU with producing a native 4K image, the engine can render the game at a lower resolution and have DLSS make up the difference. The technology, which has already been employed by several notable PC games over the last few years, uses machine learning to upscale rendered images in real-time.

Ai upscale video open source series#

Their sources claim the new system will utilize an NVIDIA chipset capable of Deep Learning Super Sampling (DLSS), a feature which is currently only available on high-end GeForce RTX 20 and GeForce RTX 30 series GPUs. Those upgraded specifications will almost certainly come with an inflated price tag as well, but given the incredible demand for the current Switch, a $50 or even $100 bump is unlikely toВ dissuade many prospective buyers.Д«ut according to a report from Bloomberg, the new Switch might have a bit more going on under the hood than youвЂ™d expect from the technologically conservative Nintendo. A faster CPU, more RAM, and an improved OLED display are all pretty much a given, as youвЂ™d expect for a mid-generation refresh. The rumor mill has recently been buzzing about NintendoвЂ™s plans to introduce a new version of their extremely popular Switch console in time for the holidays.