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NeRF models are trained on several views with known location and viewing direction. This model takes one image (and you don't need to train a model for each obj
by GaggiX 4y ago
NeRF models are trained on several views with known location and viewing direction. This model takes one image (and you don't need to train a model for each object).
- fooker 4y agoNot hotdog.
- amelius 4y agoBut if it takes only one image, isn't it likely to hallucinate information?
- gs17 4y agoNot just likely, it does. Try out the demo and see, e.g. what the backside of their Pikachu toy looks like. Or a little simpler, the paper has an example (the demo also has this) of the back of a car under different seeds.