6/11/2023 0 Comments Minecraft guess the photo map![]() ![]() Making headway on a problem makes the solution personally valuable. The idea of making something seemingly unknowable known is enticing. The unavailability made it seem more valuable. Finding the answer became personally valuable to people for a few reasons: The minute inherent value of the answer is not why it was done. I did not participate in the project, and I agree the seed is almost worthless to the world but I don't think the project was a waste of anything. So (a) lets you know where you are, then you figure out the waterfall location from that (a lot of tricks described above to figure out perspective, etc.), then use elements of (b) as a fairly fine sieve on the generator ("could a waterfall generate at xyz") and you have a tractable way to find possible world seeds. So by extracting the cloud map and correlating that to what you see in the image, because you know where the clouds started you can get a good idea of where you are in the map.ī) A high-up waterfall has a low chance of spawning because high waterfalls are rare to even try generating and additionally it requires rock and air around it, further reducing the chance it can actually occur. My uneducated guess at a summary after reading and watching the video which is like distilling a Nobel prize effort into a sentence, it seems the two big parts areĪ) The clouds are a static map that is placed at a fixed location and moves over in a known pattern per time-step. The YouTuber SalC1 produced an excellent video on the project. Through these efforts, they had significantly reduced the number of candidate seeds distributed computing power provided by 3,500 project volunteers' GPUs was then used to obtain the final 700,000 candidate seeds, and from that a brute-force approach was used to isolate the actual pack.png seed. The process involved exploiting identifiable world features such as the position of clouds, orientations of certain block textures, and more, to discover the exact coordinates of the blocks in the image (insane in itself) figuring out the exact camera perspective via regression fitting creating and training a machine learning model to upscale the image in order to better discern details and manually create a reconstruction deducing how the image was taken (print screen -> cropped to 512x512 -> 4x downscaled with specific resizing algorithm) and more. This was no small feat, with 2^48 possible seeds the procedural world generator could have used, and required much analysis, trial-and-error and distributed computation by many volunteers to obtain the seed. The goal of this project was to discover the world seed used to generate the Minecraft world that pack.png was taken in. A brief summary: pack.png is a 128x128px image of a scenic mountain within a Minecraft world, and is used in in-game menus.
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