scispace - formally typeset
Proceedings ArticleDOI

Detail preserving shape deformation in image editing

Reads0
Chats0
TLDR
An image editing system is proposed that decouples feature position from pixel color generation, by resynthesizing texture from the source image to preserve its detail and orientation around a new feature curve location.
Abstract
Shape deformation is a common practice in digital image editing, but can unrealistically stretch or compress texture detail. We propose an image editing system that decouples feature position from pixel color generation, by resynthesizing texture from the source image to preserve its detail and orientation around a new feature curve location. We introduce a new distortion to patch-based texture synthesis that aligns texture features with image features. A dense correspondence field between source and target images generated by the control curves then guides texture synthesis.

read more

Citations
More filters
Journal ArticleDOI

PatchMatch: a randomized correspondence algorithm for structural image editing

TL;DR: This paper presents interactive image editing tools using a new randomized algorithm for quickly finding approximate nearest-neighbor matches between image patches, and proposes additional intuitive constraints on the synthesis process that offer the user a level of control unavailable in previous methods.
Journal ArticleDOI

Optimized scale-and-stretch for image resizing

TL;DR: The technique allows diverting the distortion due to resizing to image regions with homogeneous content, such that the impact on perceptually important features is minimized, and distributes the distortion in all spatial directions.
Journal ArticleDOI

Image melding: combining inconsistent images using patch-based synthesis

TL;DR: This work presents a new method for synthesizing a transition region between two source images, such that inconsistent color, texture, and structural properties all change gradually from one source to the other, calling this process image melding.
Journal ArticleDOI

A survey of image synthesis and editing with generative adversarial networks

TL;DR: This paper surveys recent GAN papers regarding topics including, but not limited to, texture synthesis, image inpainting, image-to-image translation, and image editing.
Journal ArticleDOI

Energy-based image deformation

TL;DR: This work presents a general approach to shape deformation based on energy minimization, and applications of this approach to the problems of image resizing and 2Dshape deformation.
References
More filters
Proceedings ArticleDOI

Poisson image editing

TL;DR: Using generic interpolation machinery based on solving Poisson equations, a variety of novel tools are introduced for seamless editing of image regions, which permits the seamless importation of both opaque and transparent source image regions into a destination region.
Proceedings ArticleDOI

Image quilting for texture synthesis and transfer

TL;DR: This work uses quilting as a fast and very simple texture synthesis algorithm which produces surprisingly good results for a wide range of textures and extends the algorithm to perform texture transfer — rendering an object with a texture taken from a different object.
Proceedings ArticleDOI

Image analogies

TL;DR: This paper describes a new framework for processing images by example, called “image analogies,” based on a simple multi-scale autoregression, inspired primarily by recent results in texture synthesis.
Proceedings ArticleDOI

Graphcut textures: image and video synthesis using graph cuts

TL;DR: A new algorithm for image and video texture synthesis where patch regions from a sample image or video are transformed and copied to the output and then stitched together along optimal seams to generate a new (and typically larger) output.
Proceedings ArticleDOI

Fast texture synthesis using tree-structured vector quantization

TL;DR: This paper presents an efficient algorithm for realistic texture synthesis derived from Markov Random Field texture models and generates textures through a deterministic searching process that accelerates this synthesis process using tree-structured vector quantization.