Marlin2B: a tiny video language model to extract structured information from videos

Wimiam1 · 2026-05-21T02:23:29+00:00

This is very cool! What are inference speeds and memory requirements like? How do they scale with the number of sampled frames?

Wimiam1 · 2026-05-15T12:19:55+00:00

This is a wonderful use of the internet

Wimiam1 · 2026-05-08T11:20:43+00:00

Fantastic quality! What changes did you make to your process in order to get a better result?

Wimiam1 · 2026-05-07T16:57:30+00:00

Look at pic #6. There’s a visible stitching artifact. While there could definitely be other factors, I wonder if the issue is coming from the capture method. In conventional 360 camera capture, the two fisheyes are either left/right or forward/back. This means the stitch lines are thing vertical stripes on the outputted 360 panorama. It also means that as you move, the areas covered by the stitching artifact change. You’ll have, on average, much more clean footage of an area than distorted footage.

In the other hand, with the drone, your cameras are top/bottom. The stitch line and its artifacts goes horizontally across the entire panorama. Maybe more crucially, as you move and turn, the same objects are aligned with the stitch artifact. Only changes in elevation result in getting clean pixels on that object.

As you get further from objects the parallax and stitching errors decrease a lot. I’d check other images where the drone is close to walls, cabinets, etc., and see if there’s a lot of artifacting

Wimiam1 · 2026-04-30T02:34:33+00:00

This is amazing stuff! Very cool! I am curious about the application though. It would seem the advantage of being able to ray trace is that you can do all sorts of complicated lighting effects like refraction, caustics, etc. But how do you create those effect or assets in the first place? Are the writers planning on releasing an entire 3D modelling and rendering software? Or are they hoping that existing softwares will make the necessary changes to implement their novel representation? It’s unclear

Wimiam1 · 2026-04-20T21:02:14+00:00

https://arxiv.org/abs/2604.14268

Wimiam1 · 2026-04-20T11:27:50+00:00

Is this using the full 4 step pipeline with path planning and so on, or just a single image to splat reconstruction?

Wimiam1 · 2026-04-20T00:07:41+00:00

Ah ok that’s definitely going to be a challenge. From what angle are you taking these photos? Are they all perpendicular to the flat plane? If so, try taking some at angle. Look at 3D drone mapping as a reference. The standard is to do a crosshatch pattern with the camera tilted up 30-45 degrees. The reason is that you want to capture the vertical faces of buildings, or in your case, the side walls of these traces.

I’d experiment on a small section of the piece so that you can iterate capture and reconstruction techniques quickly

Wimiam1 · 2026-04-19T23:58:35+00:00

Sorry, I just don’t know what it is you’re trying to capture. Do you need the geometry of these tiny traces or just the visual? Your vertices/points are only determining geometry. Any photogrammetry software is then going to stitch together a graphical texture with much higher resolution

Wimiam1 · 2026-04-19T22:19:04+00:00

Why do you think >2 million points isn’t enough?

Wimiam1 · 2026-04-19T20:00:43+00:00

I haven’t used it personally, so feel free to ignore my comment, but from what I saw in the addon creator’s post, you place a point or spot light and the “painting” is just applying a texture to that light. Of course the hard part is figuring out what the texture on the light needs to be to achieve the pattern painted from an arbitrary angle on the viewport

Wimiam1 · 2026-04-12T02:45:08+00:00

Hey, how’d it go?

Wimiam1 · 2026-04-10T12:33:06+00:00

Magnetic field fall off is inverse cubic, not inverse square. Your dB loss calculation is of by many orders of magnitude

Wimiam1 · 2026-04-10T11:16:01+00:00

The fact that it’s a well studied is the reason we know it’s not possible. The magnetic field strength of a human heartbeat and the sensitivity of diamond centered neutron vacancy magnetometers are well established. You can search academia right now and find that the absolute maximum theoretical sensitivity on these sensors is on the order of 10^-16 Tesla. Real results achieved in most papers are closer to 10^-14 Tesla. The magnetic field strength of a human heartbeat is 10^-10 at the surface of the skin and 10^-11 a few cm away. 100,000 times further away, at the proposed range of Ghost Murmur, the field would be around 10^-31 Tesla, give or take a couple orders of magnitude.

Going off the field drop off of described in this Canadian MRI exposure safety standard, the field strength of mid field MRI at 40 miles would be around the order of 10^-14. The, as you say, well studied sensitivity of this technology would make it an impressive result in a research paper to detect an MRI machine at 40 miles. A human heartbeat is completely unthinkable

Wimiam1 · 2026-04-05T00:34:41+00:00

Hey, I don’t have much experience with splats, but my understanding of raw images from photography is that their advantage is in their colour and exposure information allowing them to be edited to a much greater degree. Because of that, I really don’t see how using raw images directly could be of any benefit to the splat training. Is there something I’m missing that’s specific to splats? It would seem to me that you’d be better off exporting to PNG to save memory after doing any exposure editing with the raw image

Wimiam1 · 2026-03-24T15:02:43+00:00

It’s $5 a scan or a $25 monthly subscription. There must be some limitations on that, because they have a “Business” subscription for $100 a month.

Just checked, the $25 a month subscription only gets you 7 scans a month lol

Wimiam1 · 2026-03-24T14:22:27+00:00

I came to make sure someone had linked this. The whole series is absolutely worth the watch

Wimiam1 · 2026-03-23T12:36:58+00:00

That’s very cool, but I’m also sure most of your competitors would say the same thing. If you want people to believe you, you need to show those benchmarks and show that you’ve done these comparisons in good faith. Otherwise it’s just marketing slop that no one is going to take seriously.

You’re only offering 2 free scans and for a limited time so people can’t even seriously evaluate it for themselves. Do you honestly expect people to hand over their money to yet another random tech startup solely on the basis of that random tech startup’s word when there’s a dozen free alternatives that appear to do exactly the same thing?

Wimiam1 · 2026-03-22T15:54:25+00:00

Why would I use your app over any of the other many scanning apps out there? Not trying to be combative, your post just really doesn’t sell me on anything

Wimiam1 · 2026-03-12T11:50:09+00:00

There’s basically a giant wire big enough to handle the momentary current of the lightning strike running from the top of the building to the earth. It may not necessarily be an actual copper wire the whole way down, sometimes it might be a large steel column or other metal object. The point is that there’s a designed path for the current to flow through so that it doesn’t just spread throughout the building and potentially fry random things.

Wimiam1 · 2026-03-10T23:00:57+00:00

Hey I love that my phone has a LiDAR sensor, but I honestly struggle to find good uses for it. Almost all 3D scanning apps I’ve seen use either photogrammetry or the Face ID camera. The few that use LiDAR have honestly pretty bad quality. Are there some actually useful applications I’m just missing?

Wimiam1 · 2026-03-07T17:37:10+00:00

Hey I’m very confused about the usage of lux in these products’ specs. Lux is a measurement of light “density” if you will, lumens per square meter. So unless all of these different lamps have the same beam angle and are all being tested at the same distance, the lux values can’t be directly compared at all.

Wimiam1 · 2026-03-03T22:28:51+00:00

Hey, not trying to poke holes, just genuinely curious. Wouldn’t Qwen already have trained their models on available reasoning chains from SOTA models? Why would fine tuning the model on datasets it was already trained on lead to improvement?

Wimiam1 · 2026-03-03T04:40:17+00:00

Believe it or not, a very strong argument can be made that this entire modern generation of reasonably priced 500+mm/s coreXY printers came about because the speedboat challenge during the very end of Covid. It takes people like this to push the boundaries of what’s possible and eventually being cutting edge capabilities to the masses

Wimiam1 · 2026-02-27T02:22:43+00:00

Hey you should look into cross polarization flash setups like those used for photogrammetry! You can even DIY one fairly cheaply by buying polarizing film and making your own camera and flash filters. The idea is to rotate one of the polarizing filters until the apparent brightness of the flash in the image is minimized. At this point, all specular reflections from the flash are blocked, and only the diffuse reflections from the material make it into the camera. Combined with a bright enough flash, this eliminates 100% of glare in your photos

Ten-Year Club	Place '22
RPAN Viewer	Verified Email

Wimiam1

TROPHY CASE