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Accurate analysis and classification of facial attributes are essential in various applications, from human-computer interaction to security systems. In this work, a novel approach to enhance facial classification and recognition tasks…

Computer Vision and Pattern Recognition · Computer Science 2025-06-12 Houting Li , Mengxuan Dong , Lok Ming Lui

We present an approach to generating 3D human models from images. The key to our framework is that we predict double-sided orthographic depth maps and color images from a single perspective projected image. Our framework consists of three…

Computer Vision and Pattern Recognition · Computer Science 2022-05-17 Min-Gyu Park , Ju-Mi Kang , Je Woo Kim , Ju Hong Yoon

In the era of digital animation, the quest to produce lifelike facial animations for virtual characters has led to the development of various retargeting methods. While the retargeting facial motion between models of similar shapes has been…

Computer Vision and Pattern Recognition · Computer Science 2026-01-14 Yeonsoo Choi , Inyup Lee , Sihun Cha , Seonghyeon Kim , Sunjin Jung , Junyong Noh

In recent years, the role of image generative models in facial reenactment has been steadily increasing. Such models are usually subject-agnostic and trained on domain-wide datasets. The appearance of the reenacted individual is learned…

Computer Vision and Pattern Recognition · Computer Science 2023-07-13 Ariel Elazary , Yotam Nitzan , Daniel Cohen-Or

3D face reconstruction plays a very important role in many real-world multimedia applications, including digital entertainment, social media, affection analysis, and person identification. The de-facto pipeline for estimating the parametric…

Computer Vision and Pattern Recognition · Computer Science 2021-01-07 Jialiang Zhang , Lixiang Lin , Jianke Zhu , Steven C. H. Hoi

Reconstructing the detailed geometric structure of a face from a given image is a key to many computer vision and graphics applications, such as motion capture and reenactment. The reconstruction task is challenging as human faces vary…

Computer Vision and Pattern Recognition · Computer Science 2017-04-07 Elad Richardson , Matan Sela , Roy Or-El , Ron Kimmel

We present a unified framework for reconstructing animatable 3D human avatars from a single portrait across head, half-body, and full-body inputs. Our method tackles three bottlenecks: pose- and framing-sensitive feature representations,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Jiawei Zhang , Lei Chu , Jiahao Li , Zhenyu Zang , Chong Li , Xiao Li , Xun Cao , Hao Zhu , Yan Lu

We introduce Structured 3D Features, a model based on a novel implicit 3D representation that pools pixel-aligned image features onto dense 3D points sampled from a parametric, statistical human mesh surface. The 3D points have associated…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Enric Corona , Mihai Zanfir , Thiemo Alldieck , Eduard Gabriel Bazavan , Andrei Zanfir , Cristian Sminchisescu

This paper propose a interactive 3D modeling method and corresponding system based on single or multiple uncalibrated images. The main feature of this method is that, according to the modeling habits of ordinary people, the 3D model of the…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Zhi He , Rui Wang , Wei Hua , Yuchi Huo

Character customization system is an important component in Role-Playing Games (RPGs), where players are allowed to edit the facial appearance of their in-game characters with their own preferences rather than using default templates. This…

Computer Vision and Pattern Recognition · Computer Science 2019-09-04 Tianyang Shi , Yi Yuan , Changjie Fan , Zhengxia Zou , Zhenwei Shi , Yong Liu

Sculptors often deviate from geometric accuracy in order to enhance the appearance of their sculpture. These subtle stylizations may emphasize anatomy, draw the viewer's focus to characteristic features of the subject, or symbolize textures…

Graphics · Computer Science 2015-02-09 Jan Jachnik , Dan B Goldman , Linjie Luo , Andrew J. Davison

In this work, we present a novel algorithm based on an it-erative sampling of random Gaussian blobs for black-box face recovery, given only an output feature vector of deep face recognition systems. We attack the state-of-the-art face…

Computer Vision and Pattern Recognition · Computer Science 2021-02-10 Anton Razzhigaev , Klim Kireev , Edgar Kaziakhmedov , Nurislam Tursynbek , Aleksandr Petiushko

This work presents 3DPE, a practical method that can efficiently edit a face image following given prompts, like reference images or text descriptions, in a 3D-aware manner. To this end, a lightweight module is distilled from a 3D portrait…

Computer Vision and Pattern Recognition · Computer Science 2024-07-19 Qingyan Bai , Zifan Shi , Yinghao Xu , Hao Ouyang , Qiuyu Wang , Ceyuan Yang , Xuan Wang , Gordon Wetzstein , Yujun Shen , Qifeng Chen

Our ability to sample realistic natural images, particularly faces, has advanced by leaps and bounds in recent years, yet our ability to exert fine-tuned control over the generative process has lagged behind. If this new technology is to…

Computer Vision and Pattern Recognition · Computer Science 2020-10-20 Marek Kowalski , Stephan J. Garbin , Virginia Estellers , Tadas Baltrušaitis , Matthew Johnson , Jamie Shotton

We present an algorithm that takes a single frame of a person's face from a depth camera, e.g., Kinect, and produces a high-resolution 3D mesh of the input face. We leverage a dataset of 3D face meshes of 1204 distinct individuals ranging…

Computer Vision and Pattern Recognition · Computer Science 2018-09-14 Shu Liang , Ira Kemelmacher-Shlizerman , Linda G. Shapiro

We propose an algorithm to generate realistic face images of both real and synthetic identities (people who do not exist) with different facial yaw, shape and resolution.The synthesized images can be used to augment datasets to train CNNs…

Computer Vision and Pattern Recognition · Computer Science 2018-11-21 Sandipan Banerjee , Walter J. Scheirer , Kevin W. Bowyer , Patrick J. Flynn

We present GaussianAvatar, an efficient approach to creating realistic human avatars with dynamic 3D appearances from a single video. We start by introducing animatable 3D Gaussians to explicitly represent humans in various poses and…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Liangxiao Hu , Hongwen Zhang , Yuxiang Zhang , Boyao Zhou , Boning Liu , Shengping Zhang , Liqiang Nie

With the rapid advancement of 3D representation techniques and generative models, substantial progress has been made in reconstructing full-body 3D avatars from a single image. However, this task remains fundamentally ill-posedness due to…

Computer Vision and Pattern Recognition · Computer Science 2025-09-17 Gaofeng Liu , Hengsen Li , Ruoyu Gao , Xuetong Li , Zhiyuan Ma , Tao Fang

Caricature is an artistic abstraction of the human face by distorting or exaggerating certain facial features, while still retains a likeness with the given face. Due to the large diversity of geometric and texture variations, automatic…

Computer Vision and Pattern Recognition · Computer Science 2021-03-09 Hongrui Cai , Yudong Guo , Zhuang Peng , Juyong Zhang

We introduce an approach to building a custom model from ready-made self-supervised models via their associating instead of training and fine-tuning. We demonstrate it with an example of a humanoid robot looking at the mirror and learning…

Robotics · Computer Science 2024-02-27 Andrej Lucny , Kristina Malinovska , Igor Farkas
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