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Image and Video Color Editing
This book covers image and video color editing research advances over the last two decades. Bringing readers up to speed on digital image and video... -
Personalized hairstyle and hair color editing based on multi-feature fusion
In the metaverse era, virtual design of hairstyle becomes very popular for personalized aesthetics. As hair design tasks can be decomposed into hair...
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Modification-fair cluster editing
The classic Cluster Editing problem (also known as Correlation Clustering ) asks to transform a given graph into a disjoint union of cliques...
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Artistic style decomposition for texture and shape editing
While methods for generative image synthesis and example-based stylization produce impressive results, their black-box style representation...
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CCR: Facial Image Editing with Continuity, Consistency and Reversibility
Three problems exist in sequential facial image editing: discontinuous editing, inconsistent editing, and irreversible editing. Discontinuous editing...
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Cluster Editing for Multi-Layer and Temporal Graphs
Motivated by the recent rapid growth of research for algorithms to cluster multi-layer and temporal graphs, we study extensions of the classical Cluste...
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Data Editing and Topology
This chapter provides a comprehensive explanation of data editing and topology, delving into the processes of simple, advanced, and topological... -
StyleDisentangle: Disentangled Image Editing Based on StyleGAN2
Thanks to the development of Generative Adversarial Networks (GANs), StyleGAN2 can generate highly realistic images by inputting a latent code and... -
CaSE-NeRF: Camera Settings Editing of Neural Radiance Fields
Neural Radiance Fields (NeRF) have shown excellent quality in three-dimensional (3D) reconstruction by synthesizing novel views from multi-view... -
Color Transfer
Image or video appearance features (e.g., color, texture, tone, illumination, and so on) reflect one’s visual perception and direct impression of an... -
Learning physically based material and lighting decompositions for face editing
Lighting is crucial for portrait photography, yet the complex interactions between the skin and incident light are expensive to model computationally...
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Parametrization of Measured BRDF for Flexible Material Editing
Finding a low dimensional parametric representation of measured BRDF remains challenging. Currently available solutions are either not usable for... -
Keep It Simple: Evaluating Local Search-Based Latent Space Editing
Semantic image editing allows users to selectively change entire image attributes in a controlled manner with just a few clicks. Most approaches use...
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Editing outdoor scenes with a large annotated synthetic dataset
With the continuous popularization of smartphones and their ever-evolving photographic capabilities, individuals can easily take a large number of...
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Attribute Space Analysis for Image Editing
Image editing is a widely studied topic in computer vision, which enables the modification of specific attributes in images without altering other... -
Free editing of Shape and Texture with Deformable Net for 3D Caricature Generation
2D caricature editing has shown superior performance. However, 3D exaggerated caricature face (ECF) modeling with flexible shape and texture editing...
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Illuminator: Image-based illumination editing for indoor scene harmonization
Illumination harmonization is an important but challenging task that aims to achieve illumination compatibility between the foreground and background...
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Near-threshold-voltage operation in flash-based high-precision computing-in-memory to implement Poisson image editing
We propose a NOR flash-based computing-in-memory (CIM) to implement high-precision (32-bit) Poisson image editing, including the gradient operations...
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Photo Editing Software
When you think of photo editing, Adobe Photoshop probably springs to mind. It is the industry standard and the ultimate in photo editing software.... -
Style Adaptive Semantic Image Editing with Transformers
The goal of semantic image editing is to modify an image based on an input semantic label map, to carry out the necessary image manipulation....