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It's impressive, but still looks kinda bad? I think the video of the camera operator on the ladder shows the artifacts the best. The main camera equipment is n
by itishappy 3y ago
It's impressive, but still looks kinda bad?
I think the video of the camera operator on the ladder shows the artifacts the best. The main camera equipment is no longer grounded in reality, with the fiddly bits disconnected from the whole and moving around. The smaller camera is barely recognizable. The plant in the background looks blurry and weird, the mountains have extra detail. Finally, the lens flare shifts!
Check out the spider too, the way the details on the leg shift is distinctly artificial.
I think the 4x/8x expansion (16x/64x the pixels!) is pushing the tech too far. I bet it would look great at <2x.
- Jackson__ 3y ago>I think the 4x/8x expansion (16x/64x the pixels!) is pushing the tech too far. I bet it would look great at <2x. I believe this applies to every upscale model released in the past 8 years, yet undeterred by this scientists keep pushing on, sometimes even claiming 16x upscaling. Though this might be the first one that is pretty close to holding up at 4x in my opinion, which is not something I've seen often.
- goggy_googy 3y agoI think the hand running through the wheat (?) is pretty good, object permanence is pretty reasonable especially considering the GAN architecture. GANs are good at grounded generation--this is why the original GigaGAN paper is still in use by a number of top image labs. Inferring object permanence and object dynamics is pretty impressive for this structure. Plus, a rather small data set: REDS and Vimeo-90k aren't massive in comparison to what people speculate Sora was trained on.
- deleted 3y ago[deleted]