81–90 of 152 posts
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I think you’re being short sighted. Imagine feeding in your favorite TV shows to a generative AI and being able to walk around in the world and talk to characters or explore it with other people.
That's still AI slop, in my opinion.
If AI videos feel like slop right now, just wait another 4 years and see what happens
Generative AI is going to drive the marginal cost of building 3D interactive content to zero. Unironically this will unlock the metaverse, cringe as that may sound. I'm more bullish than ever on AR/VR.
I can only speak for myself, but a Metaverse consisting of infinite procedural slop sounds about as appealing as reading infinite LLM generated books, that is, not at all. "Cost to zero" implies drinking directly from the AI firehose with no human in the loop (those cost money) and entertainment produced in that manner is still dire, even in the relatively mature field of pure text generation.
It was rough at first, and needed plenty of tuning, but the terrain and environments it's capable of certainly have a wide audience.
But as far as pure, unbridled generation goes, yeah; I'm sure there will be plenty of slop made in the coming decade.
Question related to 3D mesh models in general: has any significant work been done on models oriented towards photogrammetry? Case in point, I have a series of photos (48) that capture a small statue. The photos are high quality, the object was on a rotating platform. Lighting is consistent. The background is solid black. These normally are ideal variables for photogrammetry but none of the various common applications…
> the object was on a rotating platform Isn't a static-object-rotating-camera basically a requirement for photogrammetry?
For the AI un-initiated; is this something you could feasibly run at home? eg on a 4090? (How can I tell how "big" the model is from the github or huggingface page?)
I tried using Hunyuan3D-2 on a 4090 GPU. The Windows install encountered build errors, but it worked better on WSL Ubuntu. I first tried it with CUDA 11.3 but got a build error. Switching to CUDA 12.4 worked better. I ran it with their demo image but it reported that the mesh was too big. I removed the mesh size check and it ran fine on the 4090. It is a bit slow on my i9 14k with 128G of memory. (I previously tried…
Earlier quoted context omitted.
I can only speak for myself, but a Metaverse consisting of infinite procedural slop sounds about as appealing as reading infinite LLM generated books, that is, not at all. "Cost to zero" implies drinking directly from the AI firehose with no human in the loop (those cost money) and entertainment produced in that manner is still dire, even in the relatively mature field of pure text generation.
You're too old and jaded [1]. It's for kids inventing infinite worlds to role play and adventure. They're going to have a blast. [1] Not meant as an insult. Working professionals don't have time for this stuff.
Why don't working professionals have time for entertainment?
And are working people not always professionals?
Question related to 3D mesh models in general: has any significant work been done on models oriented towards photogrammetry? Case in point, I have a series of photos (48) that capture a small statue. The photos are high quality, the object was on a rotating platform. Lighting is consistent. The background is solid black. These normally are ideal variables for photogrammetry but none of the various common applications…
>These normally are ideal variables for photogrammetry
Actually no, my friend learned this the hard way during a photogrammetry project, he rented a photo studio, and made sure the background were perfectly black and took the photos but the photogrammetry program (Meshroom I think) was struggling to reconstruct the mesh. I did some research and I learned that it uses features in the background to help position itself to make the meshes. So he redid his tests outside with "messy" backgrounds and it worked much much better.
This was a few years ago so I don't know if things are different now.
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> the object was on a rotating platform Isn't a static-object-rotating-camera basically a requirement for photogrammetry?
Why would that make a difference?
Earlier quoted context omitted.
Why would that make a difference?
Photogrammetry generally assumes a fully static scene. If there are static parts of the scene which the camera can see and also rotating parts, the algorithm may struggle to properly match features between images.
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I assume it's safe to ignore as model weights aren't copyrightable, probably.
you dont know what kind of backdoors are hidden in the model weights
According to DOD, Tencent - which published this model - is a Chinese military company