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Related papers: Region-Aware Color Smudging

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In this work we develop 3D Paintbrush, a technique for automatically texturing local semantic regions on meshes via text descriptions. Our method is designed to operate directly on meshes, producing texture maps which seamlessly integrate…

Graphics · Computer Science 2023-11-17 Dale Decatur , Itai Lang , Kfir Aberman , Rana Hanocka

The generation of well-designed artwork is often quite time-consuming and assumes a high degree of proficiency on part of the human painter. In order to facilitate the human painting process, substantial research efforts have been made on…

Computer Vision and Pattern Recognition · Computer Science 2021-12-17 Jaskirat Singh , Cameron Smith , Jose Echevarria , Liang Zheng

Using only a model that was trained to predict where people look at images, and no additional training data, we can produce a range of powerful editing effects for reducing distraction in images. Given an image and a mask specifying the…

Computer Vision and Pattern Recognition · Computer Science 2021-09-07 Kfir Aberman , Junfeng He , Yossi Gandelsman , Inbar Mosseri , David E. Jacobs , Kai Kohlhoff , Yael Pritch , Michael Rubinstein

Point-drag-based image editing methods, like DragDiffusion, have attracted significant attention. However, point-drag-based approaches suffer from computational overhead and misinterpretation of user intentions due to the sparsity of…

Computer Vision and Pattern Recognition · Computer Science 2024-07-26 Jingyi Lu , Xinghui Li , Kai Han

Image manipulation localization aims at distinguishing forged regions from the whole test image. Although many outstanding prior arts have been proposed for this task, there are still two issues that need to be further studied: 1) how to…

Computer Vision and Pattern Recognition · Computer Science 2022-12-27 Wei-Yun Liang , Jing Xu , Xiao Jin

Detecting manipulated images has become a significant emerging challenge. The advent of image sharing platforms and the easy availability of advanced photo editing software have resulted in a large quantities of manipulated images being…

Computer Vision and Pattern Recognition · Computer Science 2019-11-26 Peng Zhou , Bor-Chun Chen , Xintong Han , Mahyar Najibi , Abhinav Shrivastava , Ser Nam Lim , Larry S. Davis

As an important subtopic of image enhancement, color transfer aims to enhance the color scheme of a source image according to a reference one while preserving the semantic context. To implement color transfer, the palette-based color…

Computer Vision and Pattern Recognition · Computer Science 2024-05-15 Chenlei Lv , Dan Zhang

Unwanted camera occlusions, such as debris, dust, rain-drops, and snow, can severely degrade the performance of computer-vision systems. Dynamic occlusions are particularly challenging because of the continuously changing pattern. Existing…

Computer Vision and Pattern Recognition · Computer Science 2023-08-02 Rong Zou , Manasi Muglikar , Nico Messikommer , Davide Scaramuzza

Image inpainting approaches have achieved significant progress with the help of deep neural networks. However, existing approaches mainly focus on leveraging the priori distribution learned by neural networks to produce a single inpainting…

Computer Vision and Pattern Recognition · Computer Science 2022-01-27 Wangbo Yu , Jinhao Du , Ruixin Liu , Yixuan Li , Yuesheng zhu

Point clouds are a 3D space representation of an environment that was recorded with a high precision laser scanner. These scanners can suffer from environmental interference such as surface shading, texturing, and reflections. Because of…

Computer Vision and Pattern Recognition · Computer Science 2023-10-20 Esteban Segarra Martinez , Ryan P. McMahan

In Computer Vision, colour-based spatial techniquesoften assume a static skin colour model. However, skin colour perceived by a camera can change when lighting changes. In common real environment multiple light sources impinge on the skin.…

Computer Vision and Pattern Recognition · Computer Science 2013-04-18 Ankit Chaudhary , Ankur Gupta

Image forgery detection is the task of detecting and localizing forged parts in tampered images. Previous works mostly focus on high resolution images using traces of resampling features, demosaicing features or sharpness of edges. However,…

Computer Vision and Pattern Recognition · Computer Science 2018-02-06 Zhongping Zhang , Yixuan Zhang , Zheng Zhou , Jiebo Luo

Line-based density plots are used to reduce visual clutter in line charts with a multitude of individual lines. However, these traditional density plots are often perceived ambiguously, which obstructs the user's identification of…

Graphics · Computer Science 2023-11-23 Yumeng Xue , Patrick Paetzold , Rebecca Kehlbeck , Bin Chen , Kin Chung Kwan , Yunhai Wang , Oliver Deussen

Colour is one of the most perceptually salient yet least controllable attributes in image generation. Although recent diffusion models can modify object colours from user instructions, their results often deviate from the intended hue,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Yuqi Yang , Dongliang Chang , Yijia Ling , Ruoyi Du , Zhanyu Ma

To achieve visual consistency in composite images, recent image harmonization methods typically summarize the appearance pattern of global background and apply it to the global foreground without location discrepancy. However, for a real…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 Ziyue Zhu , Zhao Zhang , Zheng Lin , Ruiqi Wu , Zhi Chai , Chun-Le Guo

Recently, the progress of learning-by-synthesis has proposed a training model for synthetic images, which can effectively reduce the cost of human and material resources. However, due to the different distribution of synthetic images…

Computer Vision and Pattern Recognition · Computer Science 2019-03-21 Tongtong Zhao , Yuxiao Yan , Jinjia Peng , Huibing Wang , Xianping Fu

Conditional diffusion models have demonstrated impressive performance in image manipulation tasks. The general pipeline involves adding noise to the image and then denoising it. However, this method faces a trade-off problem: adding too…

Computer Vision and Pattern Recognition · Computer Science 2023-07-18 Luozhou Wang , Shuai Yang , Shu Liu , Ying-cong Chen

Generic image inpainting aims to complete a corrupted image by borrowing surrounding information, which barely generates novel content. By contrast, multi-modal inpainting provides more flexible and useful controls on the inpainted content,…

Computer Vision and Pattern Recognition · Computer Science 2023-03-07 Shaoan Xie , Zhifei Zhang , Zhe Lin , Tobias Hinz , Kun Zhang

We introduce SketchDeco, a training-free approach to sketch colourisation that bridges the gap between professional design needs and intuitive, region-based control. Our method empowers artists to use simple masks and colour palettes for…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Chaitat Utintu , Yi-Zhe Song

Metasurfaces can be designed to achieve prescribed functionality. Careful meta-atom design and arrangement achieve homogeneous and inhomogeneous layouts that can enable exceptional capabilities to manipulate incident waves. Inherently, the…