Modifying two-dimensional images utilizing three-dimensional meshes of the two-dimensional images

US12367626B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12367626-B2
Application numberUS-202218055584-A
CountryUS
Kind codeB2
Filing dateNov 15, 2022
Priority dateNov 15, 2022
Publication dateJul 22, 2025
Grant dateJul 22, 2025

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  1. Title

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  2. Abstract

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  4. Key dates

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  5. First independent claim

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Abstract

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Methods, systems, and non-transitory computer readable storage media are disclosed for generating three-dimensional meshes representing two-dimensional images for editing the two-dimensional images. The disclosed system utilizes a first neural network to determine density values of pixels of a two-dimensional image based on estimated disparity. The disclosed system samples points in the two-dimensional image according to the density values and generates a tessellation based on the sampled points. The disclosed system utilizes a second neural network to estimate camera parameters and modify the three-dimensional mesh based on the estimated camera parameters of the pixels of the two-dimensional image. In one or more additional embodiments, the disclosed system generates a three-dimensional mesh to modify a two-dimensional image according to a displacement input. Specifically, the disclosed system maps the three-dimensional mesh to the two-dimensional image, modifies the three-dimensional mesh in response to a displacement input, and updates the two-dimensional image.

First claim

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What is claimed is: 1. A method comprising: determining, by at least one processor utilizing one or more neural networks, pixel depth values representing estimated depths for pixels of a two-dimensional image; generating, by the at least one processor utilizing the one or more neural networks, a three-dimensional mesh by incorporating depth information from the pixel depth values representing the estimated depths at the pixels of the two-dimensional image into a tessellation of the two-dimensional image according to camera parameters extracted from the two-dimensional image; detecting, by the at least one processor, a displacement input at a two-dimensional position on the two-dimensional image; modifying, by the at least one processor in response to the displacement input at the two-dimensional position on the two-dimensional image, the three-dimensional mesh by determining a displaced portion of the three-dimensional mesh according to a mapping of the two-dimensional position of the displacement input to a three-dimensional position of the three-dimensional mesh; and generating, by the at least one processor, a modified two-dimensional image comprising a displacement of a portion of the two-dimensional image by re-rendering the two-dimensional image according to the displaced portion of the three-dimensional mesh and the camera parameters extracted from the two-dimensional image. 2. The method of claim 1 , wherein: detecting the displacement input comprises determining the two-dimensional position of the displacement input within the two-dimensional image comprising two-dimensional coordinates of the displacement input relative to the two-dimensional image; and modifying the three-dimensional mesh comprises determining three-dimensional coordinates of the displacement input relative to the three-dimensional mesh based on the mapping of the two-dimensional coordinates of the displacement input to the three-dimensional position according to the camera parameters extracted from the two-dimensional image. 3. The method of claim 1 , wherein modifying the three-dimensional mesh comprises: determining, based on an attribute of the displacement input, that the displacement input indicates a displacement direction for a portion of the three-dimensional mesh; and displacing the displaced portion of the three-dimensional mesh in the displacement direction. 4. The method of claim 3 , wherein modifying the three-dimensional mesh comprises: determining, based on an additional attribute of the displacement input, that the displacement input indicates an additional displacement direction of the portion of the three-dimensional mesh; and displacing the displaced portion of the three-dimensional mesh according to the additional displacement direction. 5. The method of claim 4 , wherein modifying the three-dimensional mesh comprises: selecting, in response to an additional input in connection with the displacement input, a new portion of the three-dimensional mesh to displace according to a mapping of an additional two-dimensional position of the additional input to an additional three-dimensional position of the three-dimensional mesh; and displacing the new portion of the three-dimensional mesh according to the displacement input in the displacement direction. 6. The method of claim 5 , wherein modifying the three-dimensional mesh comprises displacing, based on movement of the displacement input, one or more additional portions of the three-dimensional mesh from the portion of the three-dimensional mesh to the new portion of the three-dimensional mesh in the displacement direction. 7. The method of claim 1 , wherein: generating the three-dimensional mesh comprises generating a mapping of the pixels of the two-dimensional image to three-dimensional coordinates of the three-dimensional mesh based on the pixel depth values and the camera parameters extracted from the two-dimensional image; and modifying the three-dimensional mesh comprises determining the mapping of the two-dimensional position of the displacement input to the three-dimensional position based on the mapping of the pixels of the two-dimensional image to the three-dimensional coordinates of the three-dimensional mesh. 8. The method of claim 1 , wherein generating the modified two-dimensional image comprises: providing a preview two-dimensional image comprising the displacement of the portion of the two-dimensional image in response to the displacement input; providing, for display within a graphical user interface, an option to commit the displacement of the portion of the two-dimensional image; and generating the modified two-dimensional image comprising the displacement of the portion of the two-dimensional image in response to detecting a selection of the option to commit the displacement of the portion of the two-dimensional image. 9. The method of claim 1 , wherein modifying the three-dimensional mesh comprises: determining a displacement filter indicating a shape associated with the displacement input; and displacing the displaced portion of the three-dimensional mesh according to the shape of the displacement input in a direction of the displacement input. 10. A system comprising: a memory component; and a processing device coupled to the memory component, the processing device to perform operations comprising: determining, utilizing one or more neural networks, pixel depth values representing estimated depths for pixels of a two-dimensional image based on objects of the two-dimensional image; generating, utilizing the one or more neural networks, a three-dimensional mesh by incorporating depth information from the pixel depth values corresponding to the objects of the two-dimensional image into a tessellation of the two-dimensional image according to camera parameters extracted from the two-dimensional image; determining a three-dimensional position of the three-dimensional mesh based on a corresponding position of a displacement input at a two-dimensional position on the two-dimensional image according to a mapping of the two-dimensional image to the three-dimensional mesh; modifying, in response to the displacement input at the two-dimensional position on the two-dimensional image, the three-dimensional mesh by determining a displaced portion of the three-dimensional mesh at the three-dimensional position of the three-dimensional mesh; and generating a modified two-dimensional image comprising a displacement of a portion of the two-dimensional image by re-rendering the two-dimensional image according to the displaced portion of the three-dimensional mesh at the three-dimensional position of the three-dimensional mesh and the camera parameters extracted from the two-dimensional image. 11. The system of claim 10 , wherein determining the three-dimensional position of the three-dimensional mesh comprises: determining the two-dimensional position of the displacement input comprises determining two-dimensional coordinates of the displacement input relative to the two-dimensional image; and determining the three-dimensional position of the three-dimensional mesh based on the two-dimensional coordinates of the displacement input relative to the two-dimensional image and a projection from the two-dimensional image onto the three-dimensional mesh corresponding to the mapping of the two-dimensional image to the three-dimensional mesh. 12. The system of claim 11 , wherein modifying the three-dimensional mesh comprises: determining that the displacement input indicates a displacement of a portion of the three-dimensional mesh according to the three-dimensional position of the three-dimensional m

Assignees

Inventors

Classifications

  • Finite element generation, e.g. wire-frame surface description, {tesselation} · CPC title

  • Determining position or orientation of objects or cameras (camera calibration G06T7/80) · CPC title

  • Aligning objects, relative positioning of parts · CPC title

  • Editing of three-dimensional [3D] images, e.g. changing shapes or colours, aligning objects or positioning parts · CPC title

  • G06T11/60Primary

    Creating or editing images; Combining images with text · CPC title

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What does patent US12367626B2 cover?
Methods, systems, and non-transitory computer readable storage media are disclosed for generating three-dimensional meshes representing two-dimensional images for editing the two-dimensional images. The disclosed system utilizes a first neural network to determine density values of pixels of a two-dimensional image based on estimated disparity. The disclosed system samples points in the two-dim…
Who is the assignee on this patent?
Adobe Inc
What technology area does this patent fall under?
Primary CPC classification G06T11/60. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jul 22 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).