US 12,217,386 B2
Image generation using one or more neural networks
Brennan Shacklett, Palo Alto, CA (US); Marco Salvi, Seattle, WA (US); and Aaron Lefohn, Kirkland, WA (US)
Assigned to NVIDIA Corporation, Santa Clara, CA (US)
Filed by Nvidia Corporation, Santa Clara, CA (US)
Filed on Oct. 1, 2020, as Appl. No. 17/060,836.
Prior Publication US 2022/0108421 A1, Apr. 7, 2022
Int. Cl. G06T 3/40 (2024.01); A63F 13/69 (2014.01); G06N 3/045 (2023.01); G06T 3/4046 (2024.01); G06T 7/20 (2017.01)
CPC G06T 3/4046 (2013.01) [A63F 13/69 (2014.09); G06N 3/045 (2023.01); G06T 7/20 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 30 Claims
OG exemplary drawing
 
1. A processor, comprising:
one or more circuits to train one or more optical flow networks (OFNs) and one or more reconstruction networks (RNs) partially dependently after the one or more OFNs and RNs have been trained independently to generate outputs within a first range of values.