CPC G06T 7/80 (2017.01) [G06T 7/50 (2017.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01)] | 20 Claims |
1. An estimation system comprising:
a memory storing instructions that, when executed by a processor, cause the processor to:
encode data embeddings by a learning model to form conditioned latent representations using attention networks, the data embeddings including features about an image from a camera and calibration information about the camera;
compute a probability distribution of the conditioned latent representations by factoring scale priors;
sample the probability distribution to generate variations for the data embeddings; and
estimate scaled depth maps of a scene from the variations at different coordinates using the attention networks.
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