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We demonstrate an image dequantizing diffusion model that enables novel edits on natural images. We propose operating on quantized images because they offer easy abstraction for patch-based edits and palette transfer. In particular, we show…

Computer Vision and Pattern Recognition · Computer Science 2025-01-24 Vaibhav Vavilala , Faaris Shaik , David Forsyth

Text-guided image editing has recently experienced rapid development. However, simultaneously performing multiple editing actions on a single image, such as background replacement and specific subject attribute changes, while maintaining…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 Pengzhi Li , QInxuan Huang , Yikang Ding , Zhiheng Li

The prevalence of digital sensors, such as digital cameras and mobile phones, simplifies the acquisition of photos. Digital sensors, however, suffer from producing Moire when photographing objects having complex textures, which deteriorates…

Computer Vision and Pattern Recognition · Computer Science 2019-09-27 Xi Cheng , Zhenyong Fu , Jian Yang

Real-world image denoising is an extremely important image processing problem, which aims to recover clean images from noisy images captured in natural environments. In recent years, diffusion models have achieved very promising results in…

Computer Vision and Pattern Recognition · Computer Science 2023-05-09 Cheng Yang , Lijing Liang , Zhixun Su

Watermarking helps in ensuring originality, ownership and copyrights of a digital image. This paper aims at embedding a Watermark in an image using Wave Atom Transform. Preference of Wave Atoms on other transformations has been due to its…

Multimedia · Computer Science 2015-08-10 Ijaz Bukhari , Nuhman-ul-Haq , Khizar Hyat

Diffusion models generate new samples by progressively decreasing the noise from the initially provided random distribution. This inference procedure generally utilizes a trained neural network numerous times to obtain the final output,…

Image colorization is a challenging problem due to multi-modal uncertainty and high ill-posedness. Directly training a deep neural network usually leads to incorrect semantic colors and low color richness. While transformer-based methods…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Xiaoyang Kang , Tao Yang , Wenqi Ouyang , Peiran Ren , Lingzhi Li , Xuansong Xie

Removing or repairing the imperfections of a digital images or videos is a very active and attractive field of research belonging to the image inpainting technique. This later has a wide range of applications, such as removing scratches in…

Computer Vision and Pattern Recognition · Computer Science 2013-05-13 Faouzi Benzarti , Hamid Amiri

Image denoising, one of the essential inverse problems, targets to remove noise/artifacts from input images. In general, digital image denoising algorithms, executed on computers, present latency due to several iterations implemented in,…

Noise is a major issue while transferring images through all kinds of electronic communication. One of the most common noise in electronic communication is an impulse noise which is caused by unstable voltage. In this paper, the comparison…

Computer Vision and Pattern Recognition · Computer Science 2014-10-09 Suman Shrestha

Recent research on texture synthesis for 3D shapes benefits a lot from dramatically developed 2D text-to-image diffusion models, including inpainting-based and optimization-based approaches. However, these methods ignore the modal gap…

Computer Vision and Pattern Recognition · Computer Science 2024-08-16 Shang Liu , Chaohui Yu , Chenjie Cao , Wen Qian , Fan Wang

Watermarking is an important copyright protection technology which generally embeds the identity information into the carrier imperceptibly. Then the identity can be extracted to prove the copyright from the watermarked carrier even after…

Computer Vision and Pattern Recognition · Computer Science 2022-03-01 Sulong Ge , Zhihua Xia , Jianwei Fei , Xingming Sun , Jian Weng

A color image contains luminance and chrominance components representing the intensity and color information respectively. The objective of the work presented in this paper is to show the significance of incorporating the chrominance…

Computer Vision and Pattern Recognition · Computer Science 2018-01-01 V. Sowmya , D. Govind , K. P. Soman

This work introduces DiGress, a discrete denoising diffusion model for generating graphs with categorical node and edge attributes. Our model utilizes a discrete diffusion process that progressively edits graphs with noise, through the…

Machine Learning · Computer Science 2023-05-24 Clement Vignac , Igor Krawczuk , Antoine Siraudin , Bohan Wang , Volkan Cevher , Pascal Frossard

Tube waves present a significant challenge in vertical seismic profiling data, often obscuring critical seismic signals from seismic acquisition. In this study, we introduce the Seismic Diffusion Model for Denoising, a fast diffusion model…

Geophysics · Physics 2025-03-04 Donglin Zhu , Peiyao Li , Ge Jin

The Color is one of the most important and easily identifiable features for describing the visual content. The MPEG standard has developed a number of descriptors that covers different aspects of the visual content. The Dominant color…

Computer Vision and Pattern Recognition · Computer Science 2016-05-31 Siddu P Algur , N H Ayachit , Vivek R

Diffusion models are highly effective at generating high-quality images but pose risks, such as the unintentional generation of NSFW (not safe for work) content. Although various techniques have been proposed to mitigate unwanted influences…

Computer Vision and Pattern Recognition · Computer Science 2024-11-21 Jing Wu , Trung Le , Munawar Hayat , Mehrtash Harandi

Digital watermarking technique has been presented and widely researched to solve some important issues in the digital world, such as copyright protection, copy protection and content authentication. Several robust watermarking schemes based…

Multimedia · Computer Science 2011-01-27 J. Anitha , S. Immanuel Alex Pandian

Despite the existence of numerous colorization methods, several limitations still exist, such as lack of user interaction, inflexibility in local colorization, unnatural color rendering, insufficient color variation, and color overflow. To…

Computer Vision and Pattern Recognition · Computer Science 2024-02-19 Zhexin Liang , Zhaochen Li , Shangchen Zhou , Chongyi Li , Chen Change Loy

Color artifacts of demosaicked images are often found at contours due to interpolation across edges and cross-channel aliasing. To tackle this problem, we propose a novel demosaicking method to reliably reconstruct color channels of a Bayer…

Computer Vision and Pattern Recognition · Computer Science 2017-05-19 Rui Chen , Huizhu Jia , Xiange Wen , Xiaodong Xie