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Related papers: Reference-guided Face Component Editing

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Occlusions are very common in face images in the wild, leading to the degraded performance of face-related tasks. Although much effort has been devoted to removing occlusions from face images, the varying shapes and textures of occlusions…

Computer Vision and Pattern Recognition · Computer Science 2021-12-16 Xiangnan Yin , Di Huang , Zehua Fu , Yunhong Wang , Liming Chen

Humans tend to form quick subjective first impressions of non-physical attributes when seeing someone's face, such as perceived trustworthiness or attractiveness. To understand what variations in a face lead to different subjective…

Computer Vision and Pattern Recognition · Computer Science 2025-03-19 Chaitanya Roygaga , Joshua Krinsky , Kai Zhang , Kenny Kwok , Aparna Bharati

Face Restoration (FR) aims to restore High-Quality (HQ) faces from Low-Quality (LQ) input images, which is a domain-specific image restoration problem in the low-level computer vision area. The early face restoration methods mainly use…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Tao Wang , Kaihao Zhang , Jiankang Deng , Tong Lu , Wei Liu , Stefanos Zafeiriou

Recent developments in generative models have enabled the generation of photo-realistic human face images, and downstream tasks utilizing face generation technology have advanced accordingly. However, models for downstream tasks are yet…

Computer Vision and Pattern Recognition · Computer Science 2023-07-03 Bryan S. Kim , Jeong Young Jeong , Wonjong Ryu

To achieve pixel-level image manipulation, drag-style image editing which edits images using points or trajectories as conditions is attracting widespread attention. Most previous methods follow move-and-track framework, in which miss…

Computer Vision and Pattern Recognition · Computer Science 2026-01-05 Jiacheng Sui , Yujie Zhou , Li Niu

Face retrieval has received much attention over the past few decades, and many efforts have been made in retrieving face images against pose, illumination, and expression variations. However, the conventional works fail to meet the…

Computer Vision and Pattern Recognition · Computer Science 2017-11-23 BingZhang Hu , Feng Zheng , Ling Shao

We present EXE-GAN, a novel exemplar-guided facial inpainting framework using generative adversarial networks. Our approach can not only preserve the quality of the input facial image but also complete the image with exemplar-like facial…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Wanglong Lu , Hanli Zhao , Xianta Jiang , Xiaogang Jin , Yongliang Yang , Min Wang , Jiankai Lyu , Kaijie Shi

Body reshaping is an important procedure in portrait photo retouching. Due to the complicated structure and multifarious appearance of human bodies, existing methods either fall back on the 3D domain via body morphable model or resort to…

Computer Vision and Pattern Recognition · Computer Science 2022-03-14 Jianqiang Ren , Yuan Yao , Biwen Lei , Miaomiao Cui , Xuansong Xie

We propose a self-supervised framework for learning facial attributes by simply watching videos of a human face speaking, laughing, and moving over time. To perform this task, we introduce a network, Facial Attributes-Net (FAb-Net), that is…

Computer Vision and Pattern Recognition · Computer Science 2018-08-22 Olivia Wiles , A. Sophia Koepke , Andrew Zisserman

In this paper a new system for piecewise primitive surface recovery on point clouds is presented, which allows a novice user to sketch areas of interest in order to guide the fitting process. The algorithm is demonstrated against a…

Graphics · Computer Science 2017-01-23 Daniel Beale

Referenced-based scene stylization that edits the appearance based on a content-aligned reference image is an emerging research area. Starting with a pretrained neural radiance field (NeRF), existing methods typically learn a novel…

Computer Vision and Pattern Recognition · Computer Science 2024-07-11 Yiqun Mei , Jiacong Xu , Vishal M. Patel

Existing face stylization methods always acquire the presence of the target (style) domain during the translation process, which violates privacy regulations and limits their applicability in real-world systems. To address this issue, we…

Computer Vision and Pattern Recognition · Computer Science 2023-03-20 Yuhe Ding , Jian Liang , Jie Cao , Aihua Zheng , Ran He

The current GAN inversion methods typically can only edit the appearance and shape of a single object and background while overlooking spatial information. In this work, we propose a 3D editing framework, 3D-GOI, to enable multifaceted…

Computer Vision and Pattern Recognition · Computer Science 2024-07-24 Haoran Li , Long Ma , Haolin Shi , Yanbin Hao , Yong Liao , Lechao Cheng , Pengyuan Zhou

This work presents FaceX framework, a novel facial generalist model capable of handling diverse facial tasks simultaneously. To achieve this goal, we initially formulate a unified facial representation for a broad spectrum of facial editing…

Computer Vision and Pattern Recognition · Computer Science 2024-01-02 Yue Han , Jiangning Zhang , Junwei Zhu , Xiangtai Li , Yanhao Ge , Wei Li , Chengjie Wang , Yong Liu , Xiaoming Liu , Ying Tai

Facial editing is an important task in vision and graphics with numerous applications. However, existing works are incapable to deliver a continuous and fine-grained editing mode (e.g., editing a slightly smiling face to a big laughing one)…

Computer Vision and Pattern Recognition · Computer Science 2021-09-10 Yuming Jiang , Ziqi Huang , Xingang Pan , Chen Change Loy , Ziwei Liu

Current 3D inpainting and object removal methods are largely limited to front-facing scenes, facing substantial challenges when applied to diverse, "unconstrained" scenes where the camera orientation and trajectory are unrestricted. To…

Computer Vision and Pattern Recognition · Computer Science 2025-03-07 Zhihao Shi , Dong Huo , Yuhongze Zhou , Kejia Yin , Yan Min , Juwei Lu , Xinxin Zuo

Depth maps are used in a wide range of applications from 3D rendering to 2D image effects such as Bokeh. However, those predicted by single image depth estimation (SIDE) models often fail to capture isolated holes in objects and/or have…

Computer Vision and Pattern Recognition · Computer Science 2022-06-08 Soo Ye Kim , Jianming Zhang , Simon Niklaus , Yifei Fan , Simon Chen , Zhe Lin , Munchurl Kim

Human gaze is essential for various appealing applications. Aiming at more accurate gaze estimation, a series of recent works propose to utilize face and eye images simultaneously. Nevertheless, face and eye images only serve as independent…

Computer Vision and Pattern Recognition · Computer Science 2020-01-03 Yihua Cheng , Shiyao Huang , Fei Wang , Chen Qian , Feng Lu

Facial Image inpainting aim is to restore the missing or corrupted regions in face images while preserving identity, structural consistency and photorealistic image quality, a task specifically created for photo restoration. Though there…

Computer Vision and Pattern Recognition · Computer Science 2026-02-17 Abhigyan Bhattacharya , Hiranmoy Roy , Debotosh Bhattacharjee

Across photography, marketing, and website design, being able to direct the viewer's attention is a powerful tool. Motivated by professional workflows, we introduce an automatic method to make an image region more attention-capturing via…

Computer Vision and Pattern Recognition · Computer Science 2020-08-13 Youssef Alami Mejjati , Celso F. Gomez , Kwang In Kim , Eli Shechtman , Zoya Bylinskii
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