Prosecution Insights
Last updated: October 23, 2026
Application No. 18/946,045

CUSTOMIZABLE AVATAR GENERATION SYSTEM

Final Rejection §DOUBLEPATENT
Filed
Nov 13, 2024
Priority
Mar 31, 2021 — provisional 63/169,083 +1 more
Examiner
CHEN, YU
Art Unit
2613
Tech Center
2600 — Communications
Assignee
Snap Inc.
OA Round
2 (Final)
68%
Grant Probability
Favorable
3-4
OA Rounds
10m
Est. Remaining
98%
With Interview

Examiner Intelligence

Grants 68% — above average
68%
Career Allowance Rate
741 granted / 1091 resolved
+5.9% vs TC avg
Strong +30% interview lift
Without
With
+29.8%
Interview Lift
resolved cases with interview
Typical timeline
2y 10m
Avg Prosecution
86 currently pending
Career history
1203
Total Applications
across all art units

Statute-Specific Performance

§101
2.4%
-37.6% vs TC avg
§103
45.7%
+5.7% vs TC avg
§102
23.8%
-16.2% vs TC avg
§112
22.8%
-17.2% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1091 resolved cases

Office Action

§DOUBLEPATENT
Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . DETAILED ACTION Double Patenting The nonstatutory double patenting rejection is based on a judicially created doctrine grounded in public policy (a policy reflected in the statute) so as to prevent the unjustified or improper timewise extension of the “right to exclude” granted by a patent and to prevent possible harassment by multiple assignees. A nonstatutory double patenting rejection is appropriate where the conflicting claims are not identical, but at least one examined application claim is not patentably distinct from the reference claim(s) because the examined application claim is either anticipated by, or would have been obvious over, the reference claim(s). See, e.g., In re Berg, 140 F.3d 1428, 46 USPQ2d 1226 (Fed. Cir. 1998); In re Goodman, 11 F.3d 1046, 29 USPQ2d 2010 (Fed. Cir. 1993); In re Longi, 759 F.2d 887, 225 USPQ 645 (Fed. Cir. 1985); In re Van Ornum, 686 F.2d 937, 214 USPQ 761 (CCPA 1982); In re Vogel, 422 F.2d 438, 164 USPQ 619 (CCPA 1970); In re Thorington, 418 F.2d 528, 163 USPQ 644 (CCPA 1969). A timely filed terminal disclaimer in compliance with 37 CFR 1.321(c) or 1.321(d) may be used to overcome an actual or provisional rejection based on nonstatutory double patenting provided the reference application or patent either is shown to be commonly owned with the examined application, or claims an invention made as a result of activities undertaken within the scope of a joint research agreement. See MPEP § 717.02 for applications subject to examination under the first inventor to file provisions of the AIA as explained in MPEP § 2159. See MPEP §§ 706.02(l)(1) - 706.02(l)(3) for applications not subject to examination under the first inventor to file provisions of the AIA . A terminal disclaimer must be signed in compliance with 37 CFR 1.321(b). The USPTO Internet website contains terminal disclaimer forms which may be used. Please visit www.uspto.gov/patent/patents-forms. The filing date of the application in which the form is filed determines what form (e.g., PTO/SB/25, PTO/SB/26, PTO/AIA /25, or PTO/AIA /26) should be used. A web-based eTerminal Disclaimer may be filled out completely online using web-screens. An eTerminal Disclaimer that meets all requirements is auto-processed and approved immediately upon submission. For more information about eTerminal Disclaimers, refer to www.uspto.gov/patents/process/file/efs/guidance/eTD-info-I.jsp. Claims 1-20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1-11 of U.S. Patent No. US12175570B2. Although the conflicting claims are not identical, they are not patentably distinct from each other because the Patent US12175570B2 contain substantially all the limitations of the instant application claims. Application No. 18946045 Patent No. US12175570B2 1. A system comprising: one or more processors; and a memory storing instructions that, when executed by the one or more processors , configure the system to perform operations comprising: accessing text data; determining first characteristics of the text data; accessing a plurality of personalized avatars, the plurality of personalized avatars generated based on second characteristics and a base avatar, the plurality of personalized avatars comprising text placement areas; filtering the plurality of personalized avatars to generate a filtered plurality of personalized avatars, the filtering comprising excluding from the plurality of personalized avatars each personalized avatar having a text placement area that is unable to accommodate the text data; selecting a personalized avatar of the filtered plurality of personalized avatars for the text data based on matching the first characteristics of the text data with the second characteristics of the plurality of personalized avatars, and based on a text placement area, of the text placement areas, of the selected personalized avatar being able to accommodate the text data; generating a customized avatar based on the text data and the selected personalized avatar; and causing the customized avatar to be displayed on a display of a computing device. 1. A method comprising: accessing text data; inputting the text data into one or more first neural networks trained to classify the text data for each of the first characteristics, wherein first outputs of the one or more first neural networks indicate probabilities that the text data has each of the first characteristics; generating, using a generative adversarial network (GAN) neural network (NN), a plurality of personalized avatars based on second characteristics and a base avatar, each of the personalized avatars comprising a text placement area; inputting the plurality of personalized avatars into one or more second neural networks trained to classify the plurality of personalized avatars for each of the second characteristics, wherein second outputs of the one or more second neural networks indicate probabilities that each of the plurality of personalized avatars has each of the second characteristics selecting a personalized avatar of the plurality of personalized avatars for the text data based on matching the probabilities that each of the plurality of personalized avatars has each of the second characteristics with the probabilities that the text data has each of the first characteristics, and based on the text placement area of the selected personalized avatar being able to accommodate the text data; generating a customized avatar based on the text data and the selected personalized avatar; and causing the customized avatar to be displayed on a display of a computing device. 17. A non-transitory computer-readable storage medium, the non-transitory computer-readable storage medium including instructions that when executed by a computer, cause the computer to perform operations comprising: accessing text data; determining first characteristics of the text data; accessing a plurality of personalized avatars, the plurality of personalized avatars generated based on second characteristics and a base avatar, the plurality of personalized avatars comprising text placement areas; filtering the plurality of personalized avatars to generate a filtered plurality of personalized avatars, the filtering comprising excluding from the plurality of personalized avatars each personalized avatar having a text placement area that is unable to accommodate the text data; selecting a personalized avatar of the filtered plurality of personalized avatars for the text data based on matching the first characteristics of the text data with the second characteristics of the plurality of personalized avatars, and based on a text placement area, of the text placement areas, of the selected personalized avatar being able to accommodate the text data; generating a customized avatar based on the text data and the selected personalized avatar; and causing the customized avatar to be displayed on a display of a computing device. 9. A system comprising: one or more processors; and a memory storing instructions that, when executed by the one or more processors, configure the system to perform operations comprising: accessing text data; inputting the text data into one or more first neural networks trained to classify the text data for each of the first characteristics, wherein first outputs of the one or more first neural networks indicate probabilities that the text data has each of the first characteristics; generating, using a generative adversarial network (GAN) neural network (NN), a plurality of personalized avatars based on second characteristics and a base avatar, each of the personalized avatars comprising a text placement area; inputting the plurality of personalized avatars into one or more second neural networks trained to classify the plurality of personalized avatars for each of the second characteristics, wherein second outputs of the one or more second neural networks indicate probabilities that each of the plurality of personalized avatars has each of the second characteristics selecting a personalized avatar of the plurality of personalized avatars for the text data based on matching the probabilities that each of the plurality of personalized avatars has each of the second characteristics with the probabilities that the text data has each of the first characteristics, and based on the text placement area of the selected personalized avatar being able to accommodate the text data; generating a customized avatar based on the text data and the selected personalized avatar; and causing the customized avatar to be displayed on a display of a computing device. 19. A method comprising: accessing text data; determining first characteristics of the text data; accessing a plurality of personalized avatars, the plurality of personalized avatars generated based on second characteristics and a base avatar, the plurality of personalized avatars comprising text placement areas; filtering the plurality of personalized avatars to generate a filtered plurality of personalized avatars, the filtering comprising excluding from the plurality of personalized avatars each personalized avatar having a text placement area that is unable to accommodate the text data; selecting a personalized avatar of the filtered plurality of personalized avatars for the text data based on matching the first characteristics of the text data with the second characteristics of the plurality of personalized avatars, and based on a text placement area, of the text placement areas, of the selected personalized avatar being able to accommodate the text data; generating a customized avatar based on the text data and the selected personalized avatar; and causing the customized avatar to be displayed on a display of a computing device. Dependent claims 2-16, 18, 20 recite similar matter as claim 2-8 and 11 of Patent US12175570B2 and are rejected for the same reason. Conclusion Applicant's amendment necessitated the new ground(s) of rejection presented in this office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any extension fee pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to YU CHEN whose telephone number is (571)270-7951. The examiner can normally be reached on Monday - Friday, 8AM - 5PM, Alternate Friday, EST. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Xiao Wu can be reached on 571-272-7761. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /YU CHEN/ Primary Examiner, Art Unit 2613
Read full office action

Prosecution Timeline

Nov 13, 2024
Application Filed
May 08, 2026
Non-Final Rejection mailed — §DOUBLEPATENT
Aug 10, 2026
Response Filed
Oct 06, 2026
Final Rejection mailed — §DOUBLEPATENT (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12772863
LEADED SEMICONDUCTOR PACKAGE FORMATION USING LEAD FRAME WITH STRUCTURED CENTRAL PAD
4y 10m to grant Granted Oct 20, 2026
Patent 12770325
INFORMATION PROCESSING METHOD, SERVER, AND INFORMATION PROCESSING SYSTEM
2y 9m to grant Granted Oct 20, 2026
Patent 12764945
SEMICONDUCTOR DEVICE AND METHOD FOR FORMING SAME
3y 9m to grant Granted Oct 13, 2026
Patent 12765402
SEMICONDUCTOR STRUCTURE AND METHOD MANUFACTURING THE SAME
3y 6m to grant Granted Oct 13, 2026
Patent 12765436
SEMICONDUCTOR PACKAGE AND METHOD FOR FABRICATING A SEMICONDUCTOR PACKAGE FOR UPRIGHT MOUNTING
3y 3m to grant Granted Oct 13, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

3-4
Expected OA Rounds
68%
Grant Probability
98%
With Interview (+29.8%)
2y 10m (~10m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 1091 resolved cases by this examiner. Grant probability derived from career allowance rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month