PATENT CLAIM ANALYSIS

Application Number: 15827263
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-09
Patent Classification: ["345", "426000"]

Abstract:
For three-dimensional rendering, a machine-learnt model is trained to generate representation vectors for rendered images formed with different rendering parameter settings. The distances between representation vectors of the images to a reference are used to select the rendered image and corresponding rendering parameters that provides a consistency with the reference. In an additional or different embodiment, optimized pseudo-random sequences are used for physically-based rendering. The random number generator seed is selected to improve the convergence speed of the renderer and to provide higher quality images, such as providing images more rapidly for training compared to using non-optimized seed selection.

Claim (Index 14):
The system of  claim 13  wherein the graphics processing unit is configured to three-dimensionally render the images with path tracing.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 86.0
- Lexical Diversity: 1.53623
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15191043', '15643973', '15677460', '15720317', '15661675']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6787060086622493
- 35 USC 102 Novelty (BERT): 0.5094741367095847
- Combined Prediction Score: 0.6617828214669829
- Mean Citation Score: 232.033698
- Max Citation Score: 269.3774
- Similarity Product: 181.35052047417165

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

Dataset: test