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    DETERMINING CAMERA PARAMETERS FROM A SINGLE DIGITAL IMAGE
    11.
    发明申请
    DETERMINING CAMERA PARAMETERS FROM A SINGLE DIGITAL IMAGE 有权

    公开(公告)号：US20210358170A1

    公开(公告)日：2021-11-18

    申请号：US17387207

    申请日：2021-07-28

    Applicant: Adobe Inc.

    Inventor： Jonathan Eisenmann ,  Wenqi Xian ,  Matthew Fisher ,  Geoffrey Oxholm ,  Elya Shechtman

    IPC: G06T7/80 ,  G06T7/12 ,  G06T7/13

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing a critical edge detection neural network and a geometric model to determine camera parameters from a single digital image. In particular, in one or more embodiments, the disclosed systems can train and utilize a critical edge detection neural network to generate a vanishing edge map indicating vanishing lines from the digital image. The system can then utilize the vanishing edge map to more accurately and efficiently determine camera parameters by applying a geometric model to the vanishing edge map. Further, the system can generate ground truth vanishing line data from a set of training digital images for training the critical edge detection neural network.

    Manipulating a camera perspective within a three-dimensional space
    13.
    发明授权
    Manipulating a camera perspective within a three-dimensional space 有权

    公开(公告)号：US10831333B2

    公开(公告)日：2020-11-10

    申请号：US15660284

    申请日：2017-07-26

    Applicant: Adobe Inc.

    Inventor： Jonathan Eisenmann ,  Bushra Mahmood

    IPC: G06F3/0481 ,  G06T19/00 ,  G06T19/20 ,  G06T15/20

    Abstract: The present disclosure is directed toward systems and methods for manipulating a camera perspective within a digital environment for rendering three-dimensional objects against a background digital image. In particular, the systems and methods described herein display a view of a three-dimensional space including a horizon, a ground plane, and a three-dimensional object in accordance with a camera perspective of the three-dimensional space. The systems and methods further manipulate the camera perspective in response to, and in accordance with, user interaction with one or more options. The systems and methods manipulate the camera perspective relative to the three-dimensional space and thereby change the view of the three-dimensional space within a user interface.

    Environment map generation and hole filling
    14.
    发明授权
    Environment map generation and hole filling 有权

    公开(公告)号：US10719920B2

    公开(公告)日：2020-07-21

    申请号：US16188479

    申请日：2018-11-13

    Applicant: Adobe Inc.

    Inventor： Jonathan Eisenmann ,  Zhe Lin ,  Matthew Fisher

    IPC: G06T5/00 ,  G06T5/50 ,  G06T15/10 ,  G06T3/00 ,  G06T11/00

    Abstract: In some embodiments, an image manipulation application receives a two-dimensional background image and projects the background image onto a sphere to generate a sphere image. Based on the sphere image, an unfilled environment map containing a hole area lacking image content can be generated. A portion of the unfilled environment map can be projected to an unfilled projection image using a map projection. The unfilled projection image contains the hole area. A hole filling model is applied to the unfilled projection image to generate a filled projection image containing image content for the hole area. A filled environment map can be generated by applying an inverse projection of the map projection on the filled projection image and by combining the unfilled environment map with the generated image content for the hole area of the environment map.

    Planar region guided 3D geometry estimation from a single image
    15.
    发明授权
    Planar region guided 3D geometry estimation from a single image 有权

    公开(公告)号：US10290112B2

    公开(公告)日：2019-05-14

    申请号：US15996833

    申请日：2018-06-04

    Applicant: ADOBE INC.

    Inventor： Xiaohui Shen ,  Scott Cohen ,  Peng Wang ,  Bryan Russell ,  Brian Price ,  Jonathan Eisenmann

    IPC: G06T7/50 ,  G06T7/62 ,  G06T7/13

    Abstract: Techniques for planar region-guided estimates of 3D geometry of objects depicted in a single 2D image. The techniques estimate regions of an image that are part of planar regions (i.e., flat surfaces) and use those planar region estimates to estimate the 3D geometry of the objects in the image. The planar regions and resulting 3D geometry are estimated using only a single 2D image of the objects. Training data from images of other objects is used to train a CNN with a model that is then used to make planar region estimates using a single 2D image. The planar region estimates, in one example, are based on estimates of planarity (surface plane information) and estimates of edges (depth discontinuities and edges between surface planes) that are estimated using models trained using images of other scenes.

    Determining camera parameters from a single digital image
    17.
    发明授权
    Determining camera parameters from a single digital image 有权

    公开(公告)号：US11810326B2

    公开(公告)日：2023-11-07

    申请号：US17387207

    申请日：2021-07-28

    Applicant: Adobe Inc.

    Inventor： Jonathan Eisenmann ,  Wenqi Xian ,  Matthew Fisher ,  Geoffrey Oxholm ,  Elya Shechtman

    IPC: G06T7/80 ,  G06T7/12 ,  G06T7/13

    CPC classification number: G06T7/80 ,  G06T7/12 ,  G06T7/13 ,  G06T2207/20081 ,  G06T2207/20084

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing a critical edge detection neural network and a geometric model to determine camera parameters from a single digital image. In particular, in one or more embodiments, the disclosed systems can train and utilize a critical edge detection neural network to generate a vanishing edge map indicating vanishing lines from the digital image. The system can then utilize the vanishing edge map to more accurately and efficiently determine camera parameters by applying a geometric model to the vanishing edge map. Further, the system can generate ground truth vanishing line data from a set of training digital images for training the critical edge detection neural network.

    DENOISING IMAGES RENDERED USING MONTE CARLO RENDERINGS
    19.
    发明申请
    DENOISING IMAGES RENDERED USING MONTE CARLO RENDERINGS 有权

    公开(公告)号：US20220148135A1

    公开(公告)日：2022-05-12

    申请号：US17093852

    申请日：2020-11-10

    Applicant: Adobe Inc.

    Inventor： Mustafa Isik ,  Michael Yanis Gharbi ,  Matthew David Fisher ,  Krishna Bhargava Mullia Lakshminarayana ,  Jonathan Eisenmann ,  Federico Perazzi

    IPC: G06T5/00 ,  G06N20/00 ,  G06T3/40 ,  G06K9/46 ,  G06N3/04

    Abstract: A plurality of pixel-based sampling points are identified within an image, wherein sampling points of a pixel are distributed within the pixel. For individual sampling points of individual pixels, a corresponding radiance vector is estimated. A radiance vector includes one or more radiance values characterizing light received at a sampling point. A first machine learning module generates, for each pixel, a corresponding intermediate radiance feature vector, based on the radiance vectors associated with the sampling points within that pixel. A second machine learning module generates, for each pixel, a corresponding final radiance feature vector, based on an intermediate radiance feature vector for that pixel, and one or more other intermediate radiance feature vectors for one or more other pixels neighboring that pixel. One or more kernels are generated, based on the final radiance feature vectors, and applied to corresponding pixels of the image, to generate a lower noise image.

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