Multi-View Wire Art Meets Generative AI

DreamWire is a system for generating multi-view wire art using machine learning techniques to help generate the patterns required.

The 3-dimensional wire pattern in the center creates images of Einstein, Turing, and Newton depending on viewing angle.

What’s wire art? It’s a three-dimensional twisted mass of lines which, when viewed from a certain perspective, yields an image. Multi-view wire art produces different images from the same mass depending on the viewing angle, and as one can imagine, such things get very complex, very quickly.

A recently-released paper explains how the system works, explaining the role generative AI plays in being uniquely suited to create meaningful intersections between multiple inputs. There’s also a video (embedded just under the page break) that showcases many of the results researchers obtained.

The GitHub repository for the project doesn’t have much in it yet, but it’s a good place to keep an eye on if you’re interested in what comes next.

We’ve seen generative AI applied in a similarly novel way to help create visual anagrams, or 2D patterns that can be interpreted differently based on a variety of orientations and permutations. These sorts of systems still need to be guided by a human, but having machine learning do the heavy lifting allows just about anybody to explore their creativity.

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Mickey Shall Be Free!

The end of the year brings with it festive cheer, and a look forward into the new year to come. For those with an interest in intellectual property and the public domain it brings another treat, because every January 1st a fresh crop of works enter the public domain.

We’ll take a look at the wider crop around the day, but this year the big story is that Mickey Mouse, whose first outing was in 1928’s Steamboat Willie, is to get his turn to be released from copyright. [Jennifer Jenkins] from Duke University’s Center for the Study of the Public Domain, is using Mickey’s impending release to take a look at the law surrounding such a well-protected work.

Mickey has perhaps the greatest symbolism of all intellectual property when it comes to copyright terms, having been the reason for the Disney Corporation’s successive successful attempts to have copyright terms extended. Now even their reach is about to come to an end, but beware if you’re about to use him in your work, for the Mickey entering the public domain is an early outing, without gloves or the colours and eyes of his later incarnations. Added to that, Disney have a range of trademarks surrounding him. The piece makes for an interesting read as it navigates this maze, and makes some worthwhile points about copyright and the public domain.

Last year, we welcomed Fritz Lang’s Metropolis to the public domain. Meanwhile if you’re reading this in 2023, we believe our use of a header image featuring the 1928 Mickey to be covered by the doctrine of fair use.

The Trans-Harmonium Is A Strange Kind Of Radio-Musical Instrument

Pianos use little hammers striking taut strings to make tones. The Mellotron used lots of individual tape mechanisms. Meanwhile, the Trans-Harmonium from [Emily Francisco] uses an altogether more curious method of generating sound — each key on this keyboard instrument turns on a functional clock radio.

Electrically, there’s not a whole lot going on. The clock radios have their speaker lines cut, which are then rejoined by pressing their relevant key on the keyboard. As per [Emily]’s instructions for displaying the piece, it’s intended that the radio corresponding to C be tuned in to a local classical station. Keys A, B, D, E, F, and G are then to be tuned to other local stations, while the sharps and flats are to be tuned to the spaces in between, providing a dodgy mix of static and almost-there music and conversation.

It’s an interesting art piece that, no matter how well you play it, will probably not net you a Grammy Award. That would be missing the point, though, as it’s more a piece about “Collecting Fragments of Time,” a broader art project of which this piece is a part.

We do love a good art piece, especially those that repurpose old hardware to great aesthetic achievement.

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LED Art Project Is Geometrically Beautiful

There is no shortage of companies on the Internet willing to sell you expensive glowing things to stick on your walls. Many hackers prefer to make their own however, and [Chris] is no exception. His LED wall art is neat, tidy, and stylish, all at once.

Wanting a geometric design, [Chris] decided to have his layout designed by a random number generator. He created his own tool that would generate a design using preset segment lengths arranged in a random fashion. Once he found a layout that worked for him, he designed a set of plastic adapters that would let him connect pre-cut lengths of aluminium channel together so he could assemble his design.

With the frame complete, he then laid the LED strips into the channels, after mapping out how he would connect the full circuit of addressable LED strips. He enlisted a Raspberry Pi Zero W as the brains of the operation, responsible for commanding the strips to light in the colors of his desire.

In a nice aesthetic touch, he sanded the whole frame and painted it a uniform grey color. This hid the joins between the 3D-printed parts and the aluminium channels, and gave it a more finished look. He also went to the trouble of graphing out the locations of the various LEDs in the frame, and used this data as the basis for animations that race between points on the frame. It’s somehow more compelling than the usual simple color fades and flashes of typical commercial products.

It’s a tidy build, and a level more artful than some of the off-the-shelf products out there. For his investment of time and money, [Chris] has netted an excellent piece of wall art in the process.

SteamPunk Factory Comes To Life With An Arduino

It is one thing to make an artistic steampunk display. But [CapeGeek] added an Arduino to make the display come alive. The display has plenty of tubes and wires. The pressure gauge dominates the display, but there are lots of other interesting bits. Check it out in the video below.

From the creator:

The back-story is a fictional factory that cycles through a multistage process. It starts up with lights and sounds starting in a small tube in one corner, the needle on a big gauge starts rising, then a larger tube at the top lights up in different colors. Finally, the tall, glass reactor vessel lights up to start cooking some process. All this time, as the sequence progresses, it is accompanied by factory motor sounds and bubbling processes. Finally, a loud glass break noise hints that the process has come to a catastrophic end! Then the sequence starts reversing, with lights sequentially shutting down, the needle jumps around randomly, then decreases, finally, all lights are off, indicating the factory shutting down.

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Intentional Filament Stringing Helps Santa Soar

Stringing is when a 3D printer’s hot end moves through open air and drags a wisp of melted plastic along with it. This is normally undesirable, but has in the past been done intentionally to create some unconventional prints. Moonlight Santa from [3dprintbunny] shows considerable refinement in the technique, complete with color changes that really make the result pop.

Using a 3D printer’s stringing in a constructive way is something that has been leveraged really well. We remember seeing a lion with a fantastic mane by combining this method with a little post-processing and a blast from a heat gun. The technique has also been applied to make brush bristles (the printer strings filament across two handles, and after printing it is cut in half to make two brushes.)

This isn’t [3dprintbunny]’s first rodeo, either. We loved seeing her show what kind of objects were possible by using clever design, with no reliance on custom G-code or weird slicer tricks. The color changes by filament swaps really make this new one stand out.

Making Visual Anagrams, With Help From Machine Learning

[Daniel Geng] and others have an interesting system of generating multi-view optical illusions, or visual anagrams. Such images have more than one “correct” view and visual interpretation.

What’s more, there are quite a few different methods on display: 90 degree flips and other (orthogonal) image rotations, color inversions, jigsaw permutations, and more. The project page has a generous number of examples, so go check them out!

The team’s method uses pre-trained diffusion models — more commonly known as the secret sauce inside image-generating AIs — to evaluate and work to combine the differences between different images, and try to combine and apply it in a way that results in the model generating a good visual result. While conceptually straightforward, this process wasn’t really something that could work without diffusion models driven by modern machine learning techniques.

The visual_anagrams GitHub repository has code and the research paper goes into details on implementation, limitations, and gives guidance on obtaining good results. Image generation is just one of the rapidly-evolving aspects of recent innovations, and it’s always interesting to see unusual applications like this one.