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Portrait editing is challenging for existing techniques due to difficulties in preserving subject features like identity. In this paper, we propose a training-based method leveraging auto-generated paired data to learn desired editing while…

Computer Vision and Pattern Recognition · Computer Science 2024-07-31 Bowei Chen , Tiancheng Zhi , Peihao Zhu , Shen Sang , Jing Liu , Linjie Luo

Image deocclusion (or amodal completion) aims to recover the invisible regions (\ie, shape and appearance) of occluded instances in images. Despite recent advances, the scarcity of high-quality data that balances diversity, plausibility,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-29 Xinyang Li , Chengjie Yi , Jiawei Lai , Mingbao Lin , Yansong Qu , Shengchuan Zhang , Liujuan Cao

We introduce ObjectAdd, a training-free diffusion modification method to add user-expected objects into user-specified area. The motive of ObjectAdd stems from: first, describing everything in one prompt can be difficult, and second, users…

Computer Vision and Pattern Recognition · Computer Science 2025-12-12 Ziyue Zhang , Mingbao Lin , Quanjian Song , Yuxin Zhang , Rongrong Ji

With the rapid advancement of commercial multi-modal models, image editing has garnered significant attention due to its widespread applicability in daily life. Despite impressive progress, existing image editing systems, particularly…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Yiran Zhao , Yaoqi Ye , Xiang Liu , Michael Qizhe Shieh , Trung Bui

Patterns, which are collections of elements arranged in regular or near-regular arrangements, are an important graphic art form and widely used due to their elegant simplicity and aesthetic appeal. When a pattern is encoded as a flat image…

Computer Vision and Pattern Recognition · Computer Science 2020-10-20 Pradyumna Reddy , Paul Guerrero , Matt Fisher , Wilmot Li , Miloy J. Mitra

Controllable image generation has attracted increasing attention in recent years, enabling users to manipulate visual content such as identity and style. However, achieving simultaneous control over the 9D poses (location, size, and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-21 Zhenyuan Qin , Xincheng Shuai , Henghui Ding

Group portrait editing is highly desirable since users constantly want to add a person, delete a person, or manipulate existing persons. It is also challenging due to the intricate dynamics of human interactions and the diverse gestures. In…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Yuming Jiang , Nanxuan Zhao , Qing Liu , Krishna Kumar Singh , Shuai Yang , Chen Change Loy , Ziwei Liu

Photo retouching is a difficult task for novice users as it requires expert knowledge and advanced tools. Photographers often spend a great deal of time generating high-quality retouched photos with intricate details. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Fazilet Gokbudak , Cengiz Oztireli

Many real-world applications, such as interactive photo retouching, artistic content creation, and product design, require flexible and iterative image editing. However, existing image editing methods primarily focus on achieving the…

Computer Vision and Pattern Recognition · Computer Science 2025-05-08 Zijun Zhou , Yingying Deng , Xiangyu He , Weiming Dong , Fan Tang

Photo retouching enables photographers to invoke dramatic visual impressions by artistically enhancing their photos through stylistic color and tone adjustments. However, it is also a time-consuming and challenging task that requires…

Computer Vision and Pattern Recognition · Computer Science 2018-07-18 Zhicheng Yan , Hao Zhang , Baoyuan Wang , Sylvain Paris , Yizhou Yu

Diffusion models have revolutionized image generation and editing, producing state-of-the-art results in conditioned and unconditioned image synthesis. While current techniques enable user control over the degree of change in an image edit,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-01 Eran Levin , Ohad Fried

In real-world scenarios, many data processing problems often involve heterogeneous images associated with different imaging modalities. Since these multimodal images originate from the same phenomenon, it is realistic to assume that they…

Computer Vision and Pattern Recognition · Computer Science 2021-03-11 Pingfan Song , Miguel R. D. Rodrigues

Recent advancements in large-scale text-to-image diffusion models have enabled many applications in image editing. However, none of these methods have been able to edit the layout of single existing images. To address this gap, we propose…

Computer Vision and Pattern Recognition · Computer Science 2023-06-23 Zhiyuan Zhang , Zhitong Huang , Jing Liao

In the field of image processing, applying intricate semantic modifications within existing images remains an enduring challenge. This paper introduces a pioneering framework that integrates viewpoint information to enhance the control of…

Computer Vision and Pattern Recognition · Computer Science 2024-05-09 Jinbin Bai , Zhen Dong , Aosong Feng , Xiao Zhang , Tian Ye , Kaicheng Zhou

Denoising diffusion models have emerged as a powerful tool for various image generation and editing tasks, facilitating the synthesis of visual content in an unconditional or input-conditional manner. The core idea behind them is learning…

Computer Vision and Pattern Recognition · Computer Science 2025-03-12 Yi Huang , Jiancheng Huang , Yifan Liu , Mingfu Yan , Jiaxi Lv , Jianzhuang Liu , Wei Xiong , He Zhang , Liangliang Cao , Shifeng Chen

Image harmonization is an important step in photo editing to achieve visual consistency in composite images by adjusting the appearances of foreground to make it compatible with background. Previous approaches to harmonize composites are…

Computer Vision and Pattern Recognition · Computer Science 2020-06-02 Konstantin Sofiiuk , Polina Popenova , Anton Konushin

Compositing is one of the most common operations in photo editing. To generate realistic composites, the appearances of foreground and background need to be adjusted to make them compatible. Previous approaches to harmonize composites have…

Computer Vision and Pattern Recognition · Computer Science 2017-03-02 Yi-Hsuan Tsai , Xiaohui Shen , Zhe Lin , Kalyan Sunkavalli , Xin Lu , Ming-Hsuan Yang

Interactive point-based image editing serves as a controllable editor, enabling precise and flexible manipulation of image content. However, most drag-based methods operate primarily on the 2D pixel plane with limited use of 3D cues. As a…

Computer Vision and Pattern Recognition · Computer Science 2026-02-23 Xinyu Pu , Hongsong Wang , Jie Gui , Pan Zhou

This paper presents UltraEdit, a large-scale (approximately 4 million editing samples), automatically generated dataset for instruction-based image editing. Our key idea is to address the drawbacks in existing image editing datasets like…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Haozhe Zhao , Xiaojian Ma , Liang Chen , Shuzheng Si , Rujie Wu , Kaikai An , Peiyu Yu , Minjia Zhang , Qing Li , Baobao Chang

Photo composition is an important factor affecting the aesthetics in photography. However, it is a highly challenging task to model the aesthetic properties of good compositions due to the lack of globally applicable rules to the wide…

Computer Vision and Pattern Recognition · Computer Science 2017-07-19 Yi-Ling Chen , Jan Klopp , Min Sun , Shao-Yi Chien , Kwan-Liu Ma