Using AI to upscale images is a relatively simple task, but it perfectly illustrates the core advantage of machine learning. This feedback loop is how GANs improve over time. One part of the algorithm tries to re-create this transition from low-res to high-res, while another part compares its work against the training data, seeing if it can spot the difference and rejecting the output if not. How artificial intelligence will revolutionize the way video games are developed and played “After it’s seen these millions of photos many, many times it starts to learn what a high resolution image looks like when it sees a low resolution image,” Yang tells The Verge. You start by taking a type of algorithm known as a generative adversarial network (GAN) and train it on millions of pairs of low-res and high-res images. On the left is the original image on the right is the AI-enhanced version.īut how does the process actually work? Albert Yang, CTO of Topaz Labs, a startup that offers a popular upscaling service used by many modders, says it’s pretty straightforward. Just because AI is involved, doesn’t mean human labor isn’t. That’s something to remember when looking at these updates or any project that uses machine learning. Hidfan says that cleaning up just a single monster takes between five and 15 hours, depending on how complex their animation is. The same is true when it comes to the visuals for characters and enemies.
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Just as with wallpaper, these textures have to tesselate perfectly, or players can spot where one image starts and another begins.īecause the output from AI upscaling algorithms tends to introduce a lot of noise, says hidfan, a lot of manual editing is still required. These are images of rocks, metal, grass, and so on that are pasted onto the game’s 3D maps like wallpaper onto the walls of a house. In Doom, as with many video games, the majority of the visuals are stored as texture packs. He tells The Verge that the updated Doom visuals he made took at least 200 hours of work to tweak the algorithm’s output and clean up final images by hand. It's absurd /hxn2yk6tLo- Linguica December 10, 2018Īctually creating these AI graphics takes a lot of work, explains a modder who goes by the name hidfan. I cannot believe that results like this are possible with some dumb algorithm.
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In each case, though, these are unsanctioned upgrades, meaning it takes a bit of extra know-how to install the new visuals.
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Even more recent fare like 2010’s Mass Effect 2 has got the AI-upscaling treatment. The range of titles is impressive, including Doom, Half-Life 2, Metroid Prime 2, Final Fantasy VII, and Grand Theft Auto: Vice City. As a consequence, there’s been an explosion of new graphics for old games over the past six months or so. It means restoring the graphics can be done in a few weeks by a single dedicated modder, rather than a team that has to work for years. It’s a labor of love, not a quick fix.ĭespite the work involved, it’s still much faster than previous methods. Modders have to pick the right tool for the job before putting in hundreds of hours of work to polish the final results. Not every game is a good fit for upscaling, and not every upscaling algorithm produces similar results. It’s a job for skilled craftspeople, requiring patience and knowledge.
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The amazing Polygon Purple background makes the rocks shine even more!Īs only 100 piece will be minted in honour of the famous ether rocks, we believe the scarcity combined with the higher liquidity due to ZERO fees, will generate a lot of value.Trolie is a moderator at the r/GameUpscale subreddit where, along with specialist forums and chat apps like Discord, fans share tips and tricks on how to best use these AI tools.īrowsing these forums, it’s apparent that the modding process is a lot like restoring old furniture or works of art. Our project aims to spread awareness among the NFT community, using a powerfull meme NFT called Poly Rocks.
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However, while everyone is complaining about the high gas fees, less than 1% of NFT collectors seem aware that the Polygon solution is already implemented in OpenSea. With Polygon, once you bridged, there are no gas fees associated with bidding, buying or selling NFTs, resulting in a much more liquid NFT market. A resell price of more than double the buying price is needed to cover gas costs. The less fortunate hope to pick up smaller projects, but pay a relatively high fee compared to the NFT value. Everyone sees punks and apes being sold for millions. Smaller participants are completely prices out of the NFT market. As you know, ETH gas fees are ridiculous right now.