TMPI looks just as good if not better.
Disagree - look at the sky in the seaweed shot. It doesn't quite get the depth right in anything, and the edges of things look off.
SHARP, an approach to photorealistic view synthesis from a single image
21–30 of 114 posts
Re: SHARP, an approach to photorealistic view synthesis from a single image
#22[dead]
Re: SHARP, an approach to photorealistic view synthesis from a single image
#23Impressive but something doesn't feel right to me.. Possibly too much sharpness, possibly a mix of cliches, all amplified at once.
Re: SHARP, an approach to photorealistic view synthesis from a single image
#24Re: SHARP, an approach to photorealistic view synthesis from a single image
#25See also Spaitial[0] which announced today full 3D environment generation from a single image [0] https://www.spaitial.ai/
I'm confused, does it actually generate environments from photographs? I can't view the galleries since I didn't sign up for emails but all of the gallery thumbnails are AI, not photos.
Re: SHARP, an approach to photorealistic view synthesis from a single image
#26Re: SHARP, an approach to photorealistic view synthesis from a single image
#27Can someone ELI5 what this does? I read the abstract and tried to find differences in the provided examples, but I don't understand (and don't see) what the "photorealistic" part is.
Re: SHARP, an approach to photorealistic view synthesis from a single image
#28Is there a link with some sample gaussian splat files coming from this model? I couldn't find it.
Without that that it's hard to tell how cherry-picked the NVS video samples are.
EDIT: I did it myself, if anyone wants to check out the result (caveat, n=1): https://github.com/avaer/ml-sharp-example
Re: SHARP, an approach to photorealistic view synthesis from a single image
#29See also Spaitial[0] which announced today full 3D environment generation from a single image [0] https://www.spaitial.ai/
Why are all their examples of rooms? Why no landscape or underwater scenes or something in space, etc.?
Constrained environments are much simpler.
I believe this company is doing image (or text) -> off the shelf image model to generate more views -> some variant of gaussian splatting.
So they aren't really "generating" the world as one might imagine.
Re: SHARP, an approach to photorealistic view synthesis from a single image
#30Can someone ELI5 what this does? I read the abstract and tried to find differences in the provided examples, but I don't understand (and don't see) what the "photorealistic" part is.
From a single picture it infers a hidden 3D representation, from which you can produce photorealistic images from slightly different vantage points (novel views).