Ah great. Easier for real estate agents to show slow panning around a room, with lame music.
I guess there are other uses?? But this is just more abstracted reality. It will be innacurate just as summaried text is, and future peoples will again have no idea as to reality.
I’ve been using some time off to explore the space and related projects StereoCrafter and GeometryCrafter are fascinating. Applying this to video adds a temporal consistency angle that makes it way harder and compute intensive, but I’ve “spatialized” some old home videos from the Korean War and it works surprisingly well.
Apple is not a serious company if they can't even spin up a simple frontend for their AI innovations. I should not have to install anything to test this.
I don’t know when Apple turned evil but hard for me to support them further after nearly four decades. Everything they do now is directly opposite of what they stood for in the past.
I feel like being in a time loop. Every time a big company releases a model, we debate the definition of open source instead of asking what actually matters. Apple clearly wants the upside of academic credibility without giving away commercial optionality, which isn't unsurprising.
Additionally, we might need better categories. With software, flow is clear (source, build and binary) but with AI/ML, the actual source is an unshippable mix of data, infra and time, and weights can be both product and artifacts.
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[ 2.2 ms ] story [ 23.3 ms ] threadPaper: https://arxiv.org/abs/2512.10685
I guess there are other uses?? But this is just more abstracted reality. It will be innacurate just as summaried text is, and future peoples will again have no idea as to reality.
"Exclusively for research purposes" so not actually open source.
https://github.com/TencentARC/StereoCrafter https://github.com/TencentARC/GeometryCrafter
doesn't seem very accurate, no idea of the result with a photo of large scene, that could be useful for level designers
"Less than a second" is not "instantly".
I'm not kidding. That's going to be >80% of the images/videos synthesized with this.
Additionally, we might need better categories. With software, flow is clear (source, build and binary) but with AI/ML, the actual source is an unshippable mix of data, infra and time, and weights can be both product and artifacts.