digi wrote:
digi wrote:Thought this were quite interesting seeing as it's used in every console manufacturers first party exclusives and most 3Rd party. (struggling to think of a game that doesn't use it)digi wrote:
AJ wrote:From the sounds of it, the agreement allows them to keep selling their tools as they were. They'll probably just get pulled in to collaborate on the PS5 SDK.
Yossarian wrote:Yeah, pretty much. It’s a bit like Microsoft still licensing DirectX to other companies while also tapping the knowledge for development of the Xbox.
DirectX is owned by Microsoft, and PS4 uses OpenGL (just like the PS3). Most devs actually prefer OpenGL because it allows them to put their games on open platforms (like Linux) and the games themselves actually run faster on OpenGL than DirectX, even on Windows.7
Yossarian wrote:But yes, more generally, lots of competing products license bits of tech and tools from each other. If this really bothered Microsoft, they could fairly easily create their own version of these tools, but I doubt they’re that bothered.
hylian_elf wrote:Any good merch on sale there?
AJ wrote:Well, MS don't have their own battle royale yet...
Yossarian wrote:This is actually old news, but I only came across it recently. The Initiative (Microsoft’s new studio) has been hiring some serious talent.
https://remoteplay.co.uk/2018/08/10/the-initiative-hires-developers-from-crystal-dynamics-respawn-rockstar-and-sony-santa-monica/
EDITed in a better link.
Yossarian wrote:AJ wrote:Well, MS don't have their own battle royale yet...
From the hires, it seems the Initiative will be focusing on single-player AAA titles. Not something I have a great deal of interest in, personally, but something that many feel they’ve been lacking.
WorKid wrote:How much was DS? Best console.
Credit to Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi/Arxiv on their paper about Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. I suggest you give it a read if you're interested in this kind of thing.
https://arxiv.org/pdf/1609.04802.pdf
Credit to Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Chen Change Loy, Yu Qiao, Xiaoou Tang for their paper on ESRGAN and for providing the ESRGAN repo with pretrained models
https://arxiv.org/pdf/1809.00219.pdf
https://github.com/xinntao/ESRGAN
Guide if ya wanna try it yourself:
Credit to kingdomakrillic their amazing work!
https://kingdomakrillic.tumblr.com/post/178254875891/i-figured-out-how-to-get-esrgan-and-sftgan
(also you don't need an NVIDIA card for this just go into test.py and change “device = torch.device(‘cuda’)“ to “ device = torch.device(‘cpu’)”. No AMD/Intel though)
(if you want to try this, make sure you have the image at its native resolution!)
(for the best results, don't use compressed shit off the internet)
NVIDIA has their own Generative Adverserial Network but you have to sign up to use it as it is still in beta: https://developer.nvidia.com/gwmt
Please read through the whole thread! I won't be updating this OP with newer images and instead'll be posting newer stuff within the thread! There's some cool stuff below!
Explanation:
Long story short, Enhanced Super Resolution Generative Adverserial Network, or ESRGAN, is an upscaling method that is capable of generating realistic textures during single image super-resolution. Basically it's a machine learning technique that uses a generative adverserial network to upres smaller images. By doing it over several passes, it will usually produce an image with more fidelity than methods such as SRCNN and SRGAN. In fact, ESRGAN is based off SRGAN. The difference between the two is that ESRGAN improves on SRGAN's network architecture, adversarial loss and perceptual loss. Furthermore ESRGAN
adopts a deeper model using Residual-in-Residual Dense Block (RRDB) without batch normalization layers.
employs Relativistic average GAN instead of the vanilla GAN.
Obviously this isn't going to make every image look amazing but it's worth giving a shot. There are some genuinely great stuff out there.
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