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Related papers: A Visual Representation for Editing Face Images

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Audio-driven facial reenactment is a crucial technique that has a range of applications in film-making, virtual avatars and video conferences. Existing works either employ explicit intermediate face representations (e.g., 2D facial…

Computer Vision and Pattern Recognition · Computer Science 2023-06-14 Ricong Huang , Peiwen Lai , Yipeng Qin , Guanbin Li

Mathematically representing the shape of an object is a key ingredient for solving inverse rendering problems. Explicit representations like meshes are efficient to render in a differentiable fashion but have difficulties handling topology…

Graphics · Computer Science 2022-07-12 Guangyan Cai , Kai Yan , Zhao Dong , Ioannis Gkioulekas , Shuang Zhao

Implicit surface representations are valued for their compactness and continuity, but they pose significant challenges for editing. Despite recent advancements, existing methods often fail to preserve identity and maintain geometric…

Computer Vision and Pattern Recognition · Computer Science 2025-05-19 Nail Ibrahimli , Julian F. P. Kooij , Liangliang Nan

We present a statistical model for $3$D human faces in varying expression, which decomposes the surface of the face using a wavelet transform, and learns many localized, decorrelated multilinear models on the resulting coefficients. Using…

Computer Vision and Pattern Recognition · Computer Science 2014-07-02 Alan Brunton , Timo Bolkart , Stefanie Wuhrer

Human communication is the vocal and non verbal signal to communicate with others. Human expression is a significant biometric object in picture and record databases of surveillance systems. Face appreciation has a serious role in biometric…

Computer Vision and Pattern Recognition · Computer Science 2023-05-12 P. Deivendran , P. Suresh Babu , G. Malathi , K. Anbazhagan , R. Senthil Kumar

High-level manipulation of facial expressions in images --- such as changing a smile to a neutral expression --- is challenging because facial expression changes are highly non-linear, and vary depending on the appearance of the face. We…

Computer Vision and Pattern Recognition · Computer Science 2016-12-01 Raymond Yeh , Ziwei Liu , Dan B Goldman , Aseem Agarwala

Casually-taken portrait photographs often suffer from unflattering lighting and shadowing because of suboptimal conditions in the environment. Aesthetic qualities such as the position and softness of shadows and the lighting ratio between…

Computer Vision and Pattern Recognition · Computer Science 2020-05-21 Xuaner Cecilia Zhang , Jonathan T. Barron , Yun-Ta Tsai , Rohit Pandey , Xiuming Zhang , Ren Ng , David E. Jacobs

Similar to facial beautification in real life, 3D virtual avatars require personalized customization to enhance their visual appeal, yet this area remains insufficiently explored. Although current 3D Gaussian editing methods can be adapted…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Yiming Zhong , Xiaolin Zhang , Ligang Liu , Yao Zhao , Yunchao Wei

Facial makeup transfer aims to render a non-makeup face image in an arbitrary given makeup one while preserving face identity. The most advanced method separates makeup style information from face images to realize makeup transfer. However,…

Computer Vision and Pattern Recognition · Computer Science 2020-06-23 Zhaoyang Sun , Wenxuan Liu , Feng Liu , Ryan Wen Liu , Shengwu Xiong

We introduce InverseFaceNet, a deep convolutional inverse rendering framework for faces that jointly estimates facial pose, shape, expression, reflectance and illumination from a single input image. By estimating all parameters from just a…

Computer Vision and Pattern Recognition · Computer Science 2018-05-17 Hyeongwoo Kim , Michael Zollhöfer , Ayush Tewari , Justus Thies , Christian Richardt , Christian Theobalt

Enhancement is an important step in post-processing digital images for personal use, in medical imaging, and for object recognition. Most existing manual techniques rely on region selection, similarity, and/or thresholding for editing,…

Graphics · Computer Science 2019-09-05 Junyi Tu , Paul Rosen

In high-end visual effects pipelines, a customized (and expensive) light stage system is (typically) used to scan an actor in order to acquire both geometry and texture for various expressions. Aiming towards democratization, we propose a…

Graphics · Computer Science 2024-01-31 Yilin Zhu , Dalton Omens , Haodi He , Ron Fedkiw

This paper proposes an automatic image correction method for portrait photographs, which promotes consistency of facial skin color by suppressing skin color changes due to background colors. In portrait photographs, skin color is often…

Graphics · Computer Science 2026-05-21 Keiichiro Shirai , Tatsuya Baba , Shunsuke Ono , Masahiro Okuda , Yusuke Tatesumi , Paul Perrotin

Face manipulation detection has been receiving a lot of attention for the reliability and security of the face images/videos. Recent studies focus on using auxiliary information or prior knowledge to capture robust manipulation traces,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-28 Haoyue Wang , Sheng Li , Ji He , Zhenxing Qian , Xinpeng Zhang , Shaolin Fan

Face editing methods, essential for tasks like virtual avatars, digital human synthesis and identity preservation, have traditionally been built upon GAN-based techniques, while recent focus has shifted to diffusion-based models due to…

Computer Vision and Pattern Recognition · Computer Science 2025-11-27 Mengting Wei , Tuomas Varanka , Yante Li , Xingxun Jiang , Huai-Qian Khor , Guoying Zhao

State-of-the-art face super-resolution methods employ deep convolutional neural networks to learn a mapping between low- and high- resolution facial patterns by exploring local appearance knowledge. However, most of these methods do not…

Computer Vision and Pattern Recognition · Computer Science 2020-07-21 Xiaobin Hu , Wenqi Ren , John LaMaster , Xiaochun Cao , Xiaoming Li , Zechao Li , Bjoern Menze , Wei Liu

In this paper we propose a novel image representation called face X-ray for detecting forgery in face images. The face X-ray of an input face image is a greyscale image that reveals whether the input image can be decomposed into the…

Computer Vision and Pattern Recognition · Computer Science 2020-04-21 Lingzhi Li , Jianmin Bao , Ting Zhang , Hao Yang , Dong Chen , Fang Wen , Baining Guo

We present a novel method for the interactive control of geometric abstraction and texture in artistic images. Previous example-based stylization methods often entangle shape, texture, and color, while generative methods for image synthesis…

Computer Vision and Pattern Recognition · Computer Science 2023-08-02 Martin Büßemeyer , Max Reimann , Benito Buchheim , Amir Semmo , Jürgen Döllner , Matthias Trapp

Biometric authentication systems play a crucial role in modern security systems. However, maintaining the balance of privacy and integrity of stored biometrics derivative data while achieving high recognition accuracy is often challenging.…

Computer Vision and Pattern Recognition · Computer Science 2024-08-29 Dmytro Zakharov , Oleksandr Kuznetsov , Emanuele Frontoni

We propose to combine semantic data and registration algorithms to solve various image processing problems such as denoising, super-resolution and color-correction. It is shown how such new techniques can achieve significant quality…

Computer Vision and Pattern Recognition · Computer Science 2023-07-19 Ester Hait , Guy Gilboa
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