Abstract: Various disclosed embodiments are directed to the lossless removal of redundant control points and/or segments based on chain-to-chain and/or segment-to-segment distance computations. Additionally or alternatively, such removal may be based on identifying all possible lossless removal operations to ensure that the smallest possible zero-error (or near zero-error) representation of a given image. Subsequent lossy operations may be computed via local Gauss-Newton optimization and processing a priority queue.

Abstract: In implementation of techniques for vector font generation based on cascaded diffusion, a computing device implements a glyph generation system to receive a sample glyph in a target font and a target glyph identifier. The glyph generation system generates a rasterized glyph in the target font using a raster diffusion model based on the sample glyph and the target glyph identifier, the rasterized glyph having a first level of resolution. The glyph generation system then generates a vector glyph using a vector diffusion model by vectorizing the rasterized glyph, the vector glyph having a second level of resolution different than the first level of resolution. The glyph generation system then displays the vector glyph in a user interface.

Abstract: The disclosure provides an approach for transferring image edits from a source image to target images. In one embodiment, a warp application receives a user-selected region of interest in a source image and determines for the region of interest content-aware bounded weight functions and seed locations for the same. For each of the target images, the warping application initializes a linear blend skinning subspace warp to a projection onto a feature space of a piecewise affine map from scale invariant feature transform features of the source image to the target image. After initializing the warps, the warping application iteratively optimizes the warps by applying the inverse compositional Lucas-Kanade procedure and using the content-aware weight functions in said procedure. Edits made to the source image may automatically be transferred to target images by warping those edits via the optimized warp function for the respective target images.

Abstract: The disclosure provides an approach for transferring image edits from a source image to target images. In one embodiment, a warp application receives a user-selected region of interest in a source image and determines for the region of interest content-aware bounded weight functions and seed locations for the same. For each of the target images, the warping application initializes a linear blend skinning subspace warp to a projection onto a feature space of a piecewise affine map from scale invariant feature transform features of the source image to the target image. After initializing the warps, the warping application iteratively optimizes the warps by applying the inverse compositional Lucas-Kanade procedure and using the content-aware weight functions in said procedure. Edits made to the source image may automatically be transferred to target images by warping those edits via the optimized warp function for the respective target images.