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Hunyuan3D 2.0 – High-Resolution 3D Assets Generation

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Re: Hunyuan3D 2.0 – High-Resolution 3D Assets Generation

#31

Post by [deleted] »

EncomLab wrote: post #24
taejavu wrote: post #18

Earlier quoted context omitted.

Jeez I'd love to know what Apple's R&D debt on Vision Pro is, based on current sales to date. I really really hope they continue to push for a headset that's within reach of average people but the hole must be so deep at this point I wouldn't be surprised if they cut their losses.

As Carmack pointed out the problem with AR/VR right now - it's not the hardware, it's the software. Until the "visicalc" must have killer app shows up to move the hardware, there is little incentive for general users to make the investment.

[deleted]

Re: Hunyuan3D 2.0 – High-Resolution 3D Assets Generation

#32

Post by PittleyDunkin »

MikeTheRocker wrote: post #6

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.

Maybe eventually. Based on this quality I don't see this happening any time in the near future.

Re: Hunyuan3D 2.0 – High-Resolution 3D Assets Generation

#33

Post by PittleyDunkin »

EncomLab wrote: post #24
taejavu wrote: post #18

Earlier quoted context omitted.

Jeez I'd love to know what Apple's R&D debt on Vision Pro is, based on current sales to date. I really really hope they continue to push for a headset that's within reach of average people but the hole must be so deep at this point I wouldn't be surprised if they cut their losses.

As Carmack pointed out the problem with AR/VR right now - it's not the hardware, it's the software. Until the "visicalc" must have killer app shows up to move the hardware, there is little incentive for general users to make the investment.

> As Carmack pointed out the problem with AR/VR right now - it's not the hardware, it's the software.

The third option is peoples' expectation for AR/VR itself: it could be a highly niche and expensive industry and unlikely to grow to the general population.

Re: Hunyuan3D 2.0 – High-Resolution 3D Assets Generation

#34

Post by godelski »

Kelvin506 wrote: post #22
godelski wrote: post #16

As with any generative model, trust but verify. Try it yourself. Frankly, as a generative researcher myself, there's a lot of reason to not trust what you see in papers and pages. They link a Huggingface page (great sign!): https://huggingface.co/spaces/tencent/Hunyuan3D-2 I tried to replicate the objects they show on their project page ( https://3d-models.hunyuan.tencent.com/ ). The full prompts exist but are trunca…

The first guitar has one of the strings end at the sound hole, and six tuning knobs for five strings. The second has similar problems: it has tuning knobs with missing winding posts, then five strings becoming four at the bridge. It also has a pickup under the fretboard. Are these considered good capability examples?

I take back a fair amount of what I said.

It is pretty good with some easier assets that I suspect there's lots of samples of (and we're comparing to other generative models, not to what humans make. Humans probably still win by a good margin). But when moving out of obvious assets that we could easily find, I'm not seeing good performance at all. Probably a lot can be done with heavy prompt engineering but that just makes things more complicated to evaluate.

Re: Hunyuan3D 2.0 – High-Resolution 3D Assets Generation

#35

Post by geuis »

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 and websites do a very good job creating a mesh out of it that isn't super low poly and/or full of holes.

I've been casually scanning huggingface for relevant models to try out but haven't really found anything.

Re: Hunyuan3D 2.0 – High-Resolution 3D Assets Generation

#36

Post by bschwindHN »

deadbabe wrote: post #28
jsheard wrote: post #10

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.

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.

Re: Hunyuan3D 2.0 – High-Resolution 3D Assets Generation

#38

Post by tzumby »

geuis wrote: post #35

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…

I’m not an expert, only dabbled in photogrammetry, but it seems to me that the crux of that problem is identifying common pixels across images in order to sort of triangulate a point in the 3D space. It doesn’t sound like something an LLM would be good at.

Re: Hunyuan3D 2.0 – High-Resolution 3D Assets Generation

#39

Post by slt2021 »

deadbabe wrote: post #28
jsheard wrote: post #10

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.

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.

do you find it interesting talking to NPCs in games?

Re: Hunyuan3D 2.0 – High-Resolution 3D Assets Generation

#40

Post by jocaal »

geuis wrote: post #35

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…

Recently, a lot of development in this area has been in gaussian splatting and from what I have seen, the new methods are super effective.

https://en.wikipedia.org/wiki/Gaussian_splatting

https://www.youtube.com/watch?v=6dPBaV6M9u4

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