公开(公告)号：US20250078229A1

公开(公告)日：2025-03-06

申请号：US18241039

申请日：2023-08-31

Applicant: Adobe Inc.

Inventor： He ZHANG ,  Jae Shin YOON ,  Hyun Joon JUNG ,  Xin SUN

IPC: G06T5/00 ,  G06T7/11 ,  G06T7/40 ,  G06T7/90

Abstract: Various disclosed embodiments are directed to deriving an albedo output image from an input image based on deriving an inverse shading map. For example, an input image can be a photograph of a human face (i.e., the geometric features) with RGB values representing the color values of the face as well as pixels representing shadows (i.e., the shadow features) underneath the chin of the human face. The inverse shading map may be a black and white pixel value image that contains pixels representing the same human face without the RGB values and the shadows underneath the chin. The inverse shading map thus relies on the geometric space, rather than RGB space. Geometric space, for example, allows embodiments to capture the geometric features of a face, as opposed to those geometric features' RGB or shadow details.

公开(公告)号：US20240037827A1

公开(公告)日：2024-02-01

申请号：US17875081

申请日：2022-07-27

Applicant: Adobe Inc.

Inventor： Yi ZHOU ,  Yangtuanfeng WANG ,  Xin SUN ,  Qingyang TAN ,  Duygu CEYLAN AKSIT

IPC: G06T13/40

CPC classification number: G06T13/40 ,  G06T2210/21 ,  G06T2210/16

Abstract: Embodiments are disclosed for using machine learning models to perform three-dimensional garment deformation due to character body motion with collision handling. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input, the input including character body shape parameters and character body pose parameters defining a character body, and garment parameters. The disclosed systems and methods further comprise generating, by a first neural network, a first set of garment vertices defining deformations of a garment with the character body based on the input. The disclosed systems and methods further comprise determining, by a second neural network, that the first set of garment vertices includes a second set of garment vertices penetrating the character body. The disclosed systems and methods further comprise modifying, by a third neural network, each garment vertex in the second set of garment vertices to positions outside the character body.

公开(公告)号：US20240062455A1

公开(公告)日：2024-02-22

申请号：US17889168

申请日：2022-08-16

Applicant: Adobe Inc.

Inventor： Ankit PHOGAT ,  Xin SUN ,  Vineet BATRA ,  Sumit DHINGRA ,  Nathan A. CARR ,  Milos HASAN

IPC: G06T15/10 ,  G06T17/20 ,  G06T11/20

CPC classification number: G06T15/10 ,  G06T17/205 ,  G06T11/20

Abstract: Embodiments are disclosed for performing 3-D vectorization. The method includes obtaining a three-dimensional rendered image and a camera position. The method further includes obtaining a triangle mesh representing the three-dimensional rendered image. The method further involves creating a reduced triangle mesh by removing one or more triangles from the triangle mesh. The method further involves subdividing each triangle of the reduced triangle mesh into one or more subdivided triangles. The method further involves performing a mapping of each pixel of the three-dimensional rendered image to the reduced triangle mesh. The method further involves assigning a color value to each vertex of the reduced triangle mesh. The method further involves sorting each triangle of the reduced triangle mesh using a depth value of each triangle. The method further involves generating a two-dimensional triangle mesh using the sorted triangles of the reduced triangle mesh.