公开(公告)号：US10475103B2

公开(公告)日：2019-11-12

申请号：US15492971

申请日：2017-04-20

Applicant: ADOBE INC.

Inventor： Gaurush Hiranandani ,  Sai Varun Reddy Maram ,  Kumar Ayush ,  Chinnaobireddy Varsha ,  Siddhant Jain

IPC: G06Q30/00 ,  G06Q30/06 ,  G06F16/583 ,  G06T7/73 ,  G06K9/62 ,  G06T11/60 ,  G06T11/00 ,  G06K9/00

Abstract: Provided are methods and techniques for providing a product recommendation to a user using augmented reality. A product recommendation system determines a user viewpoint, the viewpoint including an augmented product positioned in a camera image of the user's surroundings. Based on the viewpoint, the product recommendation system determines the position of the augmented product in the viewpoint and the similarity between the augmented product and other candidate products that are similar to the augmented product. The product recommendation system then creates a set of recommendation images, each recommendation image including an image of the candidate product that is substituted for the augmented product in the viewpoint. The product recommendation system can then evaluate the recommendation images based on overall color compatibility. Based on the evaluation, for example, the product recommendation system selects a recommendation image that is provided to the user.

公开(公告)号：US11481619B2

公开(公告)日：2022-10-25

申请号：US16507675

申请日：2019-07-10

Applicant: Adobe Inc.

Inventor： Oliver Wang ,  Kevin Wampler ,  Kalyan Krishna Sunkavalli ,  Elya Shechtman ,  Siddhant Jain

IPC: G06F17/13 ,  G06N3/08 ,  G06N3/10

Abstract: Techniques for incorporating a black-box function into a neural network are described. For example, an image editing function may be the black-box function and may be wrapped into a layer of the neural network. A set of parameters and a source image are provided to the black-box function, and the output image that represents the source image with the set of parameters applied to the source image is output from the black-box function. To address the issue that the black-box function may not be differentiable, a loss optimization may calculate the gradients of the function using, for example, a finite differences calculation, and the gradients are used to train the neural network to ensure the output image is representative of an expected ground truth image.

公开(公告)号：US20210012189A1

公开(公告)日：2021-01-14

申请号：US16507675

申请日：2019-07-10

Applicant: Adobe Inc.

Inventor： Oliver Wang ,  Kevin Wampler ,  Kalyan Krishna Sunkavalli ,  Elya Shechtman ,  Siddhant Jain

IPC: G06N3/08 ,  G06F17/13 ,  G06N3/10

Abstract: Techniques for incorporating a black-box function into a neural network are described. For example, an image editing function may be the black-box function and may be wrapped into a layer of the neural network. A set of parameters and a source image are provided to the black-box function, and the output image that represents the source image with the set of parameters applied to the source image is output from the black-box function. To address the issue that the black-box function may not be differentiable, a loss optimization may calculate the gradients of the function using, for example, a finite differences calculation, and the gradients are used to train the neural network to ensure the output image is representative of an expected ground truth image.

公开(公告)号：US10546557B2

公开(公告)日：2020-01-28

申请号：US15380414

申请日：2016-12-15

Applicant: Adobe Inc.

Inventor： Siddhant Jain ,  Renzil Leith DSouza

IPC: G09G5/14

Abstract: Overlay and screen recording techniques are described that enables separate recordings of a screen and one or more overlays that were displayed on the screen during recording. In one example, pixel values of an overlay are blended with pixel values of a screen to paint the overlay onto the screen in a transparent manner that is imperceptible to the human eye but allows for original screen pixel values to be recovered from areas of the screen that were visually occluded by the overlay. This enables a user to display recording controls and visual cues on their screen without having to worry about the overlay visually occluding any screen content during the recording. One or both of the separately recorded screen and overlay streams can then be output for playback to enable viewing of the individual streams without loss in quality or content of the individual streams.