Prosecution Insights
Last updated: April 19, 2026
Application No. 18/625,052

SYSTEMS AND METHODS FOR DIVERSE IMAGE INPAINTING

Non-Final OA §102
Filed
Apr 02, 2024
Examiner
BOYD, JONATHAN A
Art Unit
2627
Tech Center
2600 — Communications
Assignee
Datum Point Labs Inc.
OA Round
1 (Non-Final)
69%
Grant Probability
Favorable
1-2
OA Rounds
2y 7m
To Grant
76%
With Interview

Examiner Intelligence

Grants 69% — above average
69%
Career Allow Rate
481 granted / 698 resolved
+6.9% vs TC avg
Moderate +7% lift
Without
With
+7.0%
Interview Lift
resolved cases with interview
Typical timeline
2y 7m
Avg Prosecution
24 currently pending
Career history
722
Total Applications
across all art units

Statute-Specific Performance

§101
2.6%
-37.4% vs TC avg
§103
53.7%
+13.7% vs TC avg
§102
27.8%
-12.2% vs TC avg
§112
9.9%
-30.1% vs TC avg
Black line = Tech Center average estimate • Based on career data from 698 resolved cases

Office Action

§102
DETAILED ACTIONNotice 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 . Claim Rejections - 35 USC § 102 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. Claim(s) 1, 4-10 and 13-19 is/are rejected under 35 U.S.C. 102(a)(1) as being anticipated by He et al (2024/0096072) (herein “He”). In regards to claims 1, 10 and 19, He teaches a method of image inpainting, the method comprising: receiving, via a data interface, a masked input image and a mask (See; Fig. 1 and p[0026] for input image 102 that is divided into a plurality of patches 104 that are masked according to some masking criteria); generating, via a pretrained model, a first pass inpainted image based on the masked input image; generating a plurality of variants of the first pass inpainted image (See; Figs. 1 -3 and p[0027]-p[0030] where each patch may be masked at different ratios during a pre training process and a set of patches (variants) 106a-106n are selected to be fed into the encoder 110) generating, via a first encoder, a vector representation of the masked input image (See; Fig. 1 and p[0031] for encoder 110 that outputs a vector representation 112); and generating, via a first decoder, a plurality of output images based on the vector representation of the masked input image and conditioned by the plurality of variants of the first pass inpainted image (See; Fig. 1 and p[0041] for Decoder 116 outputting a plurality of predicted pixel values 118 for each masked patch 108 which generate a reconstructed image 120). In regards to claims 4 and 13, He teaches wherein the generating the plurality of output images is further conditioned by the mask (See; Fig. 1 where the output image is conditioned by the masking process in 106a-106n). In regards to claims 5 and 14, He teaches wherein the first decoder includes a plurality of residual blocks (See; p[0033]-p[0034] for residual connections through a layer of normalization). In regards to claims 6 and 15, He teaches wherein each residual block of the plurality of residual blocks includes one or more region normalization layers (See; p[0033]-p[0034] and p[0040]-p[0041] for residual connections through a layer of normalization). In regards to claims 7 and 16, He teaches wherein the one or more region normalization layers computes respective mean and variance vectors for different regions defined by the mask, wherein the normalization performed by the region normalization layers is based on the respective mean and variance vectors (See; p[0040]-p[0041] where normalization layers use mean and learned vectors for different patches to be predicted). In regards to claims 8 and 17, He teaches wherein each residual block of the plurality of residual blocks includes one or more up-sampling layers (See; p[0039] for reconstructing missing pixels which could be considered up sampling). In regards to claims 9 and 18, He teaches further comprising: updating parameters of the first decoder via backpropagation based on a loss function, wherein the loss function includes a comparison of at least one of the plurality of output images to at least one ground-truth image (See; p[0042] and p[0055] where a loss function may compare ground-truth pixel values to the predicted pixel values from the decoder). Allowable Subject Matter Claims 2, 3, 11, 12 and 20 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to JONATHAN A BOYD whose telephone number is (571)270-7503. The examiner can normally be reached Mon - Fri 8:00 - 5:00. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Ke Xiao can be reached at (571) 272-7776. 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. /JONATHAN A BOYD/Primary Examiner, Art Unit 2627
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Prosecution Timeline

Apr 02, 2024
Application Filed
Feb 04, 2026
Non-Final Rejection — §102 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
69%
Grant Probability
76%
With Interview (+7.0%)
2y 7m
Median Time to Grant
Low
PTA Risk
Based on 698 resolved cases by this examiner. Grant probability derived from career allow rate.

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