Abstract: One embodiment involves receiving a fine mesh as input, the fine mesh representing a 3-Dimensional (3D) model and comprising fine mesh polygons. The embodiment further involves identifying, based on the fine mesh, near-planar regions represented by a coarse mesh of coarse mesh polygons, at least one of the near-planar regions corresponding to a plurality of the coarse mesh polygons. The embodiment further involves determining a deformation to deform the coarse mesh based on comparing normals between adjacent coarse mesh polygons. The deformation may involve reducing a first angle between coarse mesh polygons adjacent to one another in a same near-planar region. The deformation may additionally or alternatively involve increasing an angle between coarse mesh polygons adjacent to one another in different near-planar regions. The fine mesh can be deformed using the determined deformation.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed at image synthesis utilizing an active mask. In one embodiment, input is received that identifies a target region within an image that is to be synthesized. A patch synthesis technique can then be performed to synthesize the target region based on portions of a source region that are identified by the patch synthesis technique. In embodiments, the patch synthesis technique includes, for at least one iteration, generating an active mask that indicates one or more portions of the target region as inactive. This active mask can be utilized by at least one process of the patch synthesis technique to ignore the one or more portions indicated as inactive by the active mask for the at least one iteration of the patch synthesis technique. Other embodiments may be described and/or claimed.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed at image synthesis utilizing an active mask. In one embodiment, input is received that identifies a target region within an image that is to be synthesized. A patch synthesis technique can then be performed to synthesize the target region based on portions of a source region that are identified by the patch synthesis technique. In embodiments, the patch synthesis technique includes, for at least one iteration, generating an active mask that indicates one or more portions of the target region as inactive. This active mask can be utilized by at least one process of the patch synthesis technique to ignore the one or more portions indicated as inactive by the active mask for the at least one iteration of the patch synthesis technique. Other embodiments may be described and/or claimed.

Abstract: One embodiment involves receiving a fine mesh as input, the fine mesh representing a 3-Dimensional (3D) model and comprising fine mesh polygons. The embodiment further involves identifying, based on the fine mesh, near-planar regions represented by a coarse mesh of coarse mesh polygons, at least one of the near-planar regions corresponding to a plurality of the coarse mesh polygons. The embodiment further involves determining a deformation to deform the coarse mesh based on comparing normals between adjacent coarse mesh polygons. The deformation may involve reducing a first angle between coarse mesh polygons adjacent to one another in a same near-planar region. The deformation may additionally or alternatively involve increasing an angle between coarse mesh polygons adjacent to one another in different near-planar regions. The fine mesh can be deformed using the determined deformation.

Abstract: One embodiment involves receiving a fine mesh as input, the fine mesh representing a 3-Dimensional (3D) model and comprising fine mesh polygons. The embodiment further involves identifying, based on the fine mesh, near-planar regions represented by a coarse mesh of coarse mesh polygons, at least one of the near-planar regions corresponding to a plurality of the coarse mesh polygons. The embodiment further involves determining a deformation to deform the coarse mesh based on comparing normals between adjacent coarse mesh polygons. The deformation may involve reducing a first angle between coarse mesh polygons adjacent to one another in a same near-planar region. The deformation may additionally or alternatively involve increasing an angle between coarse mesh polygons adjacent to one another in different near-planar regions. The fine mesh can be deformed using the determined deformation.

Abstract: One embodiment involves receiving a fine mesh as input, the fine mesh representing a 3-Dimensional (3D) model and comprising fine mesh polygons. The embodiment further involves identifying, based on the fine mesh, near-planar regions represented by a coarse mesh of coarse mesh polygons, at least one of the near-planar regions corresponding to a plurality of the coarse mesh polygons. The embodiment further involves determining a deformation to deform the coarse mesh based on comparing normals between adjacent coarse mesh polygons. The deformation may involve reducing a first angle between coarse mesh polygons adjacent to one another in a same near-planar region. The deformation may additionally or alternatively involve increasing an angle between coarse mesh polygons adjacent to one another in different near-planar regions. The fine mesh can be deformed using the determined deformation.

Abstract: Non-rigid dense correspondence (NRDC) for image enhancement may be performed. In one embodiment, a correspondence may be computed for each one of a plurality of regions of a source image to one of a plurality of regions of a reference image. Computing the correspondences may include searching within a search range for each of a plurality of image characteristics. One or more of the correspondences may be aggregated into matched regions. A global color transform and/or deblurring may be applied to the source image. In one embodiment, the global color transform and/or deblurring may be based on the matched regions. At least one of the search ranges may optionally be adjusted. In some embodiments, computing, aggregating, applying and/or deblurring, and adjusting may be iteratively performed.

Abstract: Non-rigid dense correspondence (NRDC) for image enhancement may be performed. In one embodiment, a correspondence may be computed for each one of a plurality of regions of a source image to one of a plurality of regions of a reference image. Computing the correspondences may include searching within a search range for each of a plurality of image characteristics. One or more of the correspondences may be aggregated into matched regions. A global color transform and/or deblurring may be applied to the source image. In one embodiment, the global color transform and/or deblurring may be based on the matched regions. At least one of the search ranges may optionally be adjusted. In some embodiments, computing, aggregating, applying and/or deblurring, and adjusting may be iteratively performed.