PATENT CLAIM ANALYSIS

Application Number: 16034267
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["382", "159000"]

Abstract:
In some embodiments, an exemplary inventive computer-implemented method may include steps, performed by a processor, of: obtaining training real representations of a real subject; obtaining a training synthetic representation having a visual effect applied to a synthetic subject; training a first neural network and a second neural network by: presenting the first neural network with training real representation and candidate meta-parameters of latent variables for the visual effect to generate a training photorealistic-imitating synthetic representation of the real subject with the visual effect; presenting the second neural network with the training photorealistic-imitating synthetic representation and the training synthetic representation to determine actual meta-parameters of the latent variables of the visual effect, where the actual meta-parameters are meta-parameters at which the second neural network has identified that the training photorealistic-imitating synthetic representation is realistic, and presenting to the first neural network another real representation and the actual meta-parameters of the latent variables of the visual effect to incorporate the visual effect into another real subject.

Claim (Index 15):
The system of  claim 11 , wherein the at least one first neural network is a deconvolutional neural network.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 95.0
- Lexical Diversity: 2.86885
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15893864', '15633288', '15705504', '15629663', '15956450']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3451665951183376
- 35 USC 102 Novelty (BERT): 0.484998747441861
- Combined Prediction Score: 0.3591498103506899
- Mean Citation Score: 176.54713999999996
- Max Citation Score: 195.71204
- Similarity Product: 141.48272489276647

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test