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We present a new method for few-shot human motion transfer that achieves realistic human image generation with only a small number of appearance inputs. Despite recent advances in single person motion transfer, prior methods often require a…

Computer Vision and Pattern Recognition · Computer Science 2021-03-29 Zhichao Huang , Xintong Han , Jia Xu , Tong Zhang

3D-aware GANs offer new capabilities for view synthesis while preserving the editing functionalities of their 2D counterparts. GAN inversion is a crucial step that seeks the latent code to reconstruct input images or videos, subsequently…

Computer Vision and Pattern Recognition · Computer Science 2024-04-16 Yiran Xu , Zhixin Shu , Cameron Smith , Seoung Wug Oh , Jia-Bin Huang

In facial image generation, current text-to-image models often suffer from facial attribute leakage and insufficient physical consistency when responding to local semantic instructions. In this study, we propose Face-MakeUpV2, a facial…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Dawei Dai , Yinxiu Zhou , Chenghang Li , Guolai Jiang , Chengfang Zhang

This work aims to improve the applicability of diffusion models in realistic image restoration. Specifically, we enhance the diffusion model in several aspects such as network architecture, noise level, denoising steps, training image size,…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Ziwei Luo , Fredrik K. Gustafsson , Zheng Zhao , Jens Sjölund , Thomas B. Schön

3D Gaussian Splatting (3DGS) has demonstrated superior quality in modeling 3D objects and scenes. However, generating 3DGS remains challenging due to their discrete, unstructured, and permutation-invariant nature. In this work, we present a…

Computer Vision and Pattern Recognition · Computer Science 2025-12-03 Aashish Rai , Dilin Wang , Mihir Jain , Nikolaos Sarafianos , Kefan Chen , Srinath Sridhar , Aayush Prakash

Despite the significant success in image-to-image translation and latent representation based facial attribute editing and expression synthesis, the existing approaches still have limitations in the sharpness of details, distinct image…

Computer Vision and Pattern Recognition · Computer Science 2018-12-27 WenTing Chen , Xinpeng Xie , Xi Jia , Linlin Shen

The advancement in deep implicit modeling and articulated models has significantly enhanced the process of digitizing human figures in 3D from just a single image. While state-of-the-art methods have greatly improved geometric precision,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Vishnu Mani Hema , Shubhra Aich , Christian Haene , Jean-Charles Bazin , Fernando de la Torre

Generative adversarial networks (GANs) are widely used in image generation tasks, yet the generated images are usually lack of texture details. In this paper, we propose a general framework, called Progressively Unfreezing Perceptual GAN…

Computer Vision and Pattern Recognition · Computer Science 2020-06-20 Jinxuan Sun , Yang Chen , Junyu Dong , Guoqiang Zhong

Generating photorealistic images of human faces at scale remains a prohibitively difficult task using computer graphics approaches. This is because these require the simulation of light to be photorealistic, which in turn requires…

Computer Vision and Pattern Recognition · Computer Science 2020-06-29 Stephan J. Garbin , Marek Kowalski , Matthew Johnson , Jamie Shotton

Reconstructing real-world 3D objects has numerous applications in computer vision, such as virtual reality, video games, and animations. Ideally, 3D reconstruction methods should generate high-fidelity results with 3D consistency in…

Computer Vision and Pattern Recognition · Computer Science 2024-12-02 Jingnan Gao , Zhuo Chen , Yichao Yan , Bowen Pan , Zhe Wang , Jiangjing Lyu , Xiaokang Yang

The increasing prevalence of computer vision applications necessitates handling vast amounts of visual data, often containing personal information. While this technology offers significant benefits, it should not compromise privacy. Data…

Computer Vision and Pattern Recognition · Computer Science 2025-05-28 Mustafa İzzet Muştu , Hazım Kemal Ekenel

Existing research has made impressive strides in reconstructing human facial shapes and textures from images with well-illuminated faces and minimal external occlusions. Nevertheless, it remains challenging to recover accurate facial…

Computer Vision and Pattern Recognition · Computer Science 2024-12-12 Tianxin Huang , Zhenyu Zhang , Ying Tai , Gim Hee Lee

In this paper, we present an end-to-end learning framework for detailed 3D face reconstruction from a single image. Our approach uses a 3DMM-based coarse model and a displacement map in UV-space to represent a 3D face. Unlike previous work…

Computer Vision and Pattern Recognition · Computer Science 2020-09-03 Yajing Chen , Fanzi Wu , Zeyu Wang , Yibing Song , Yonggen Ling , Linchao Bao

With the rapid development of AI-generated content (AIGC) technology, the production of realistic fake facial images and videos that deceive human visual perception has become possible. Consequently, various face forgery detection…

Computer Vision and Pattern Recognition · Computer Science 2024-06-17 Yijun Bei , Hengrui Lou , Jinsong Geng , Erteng Liu , Lechao Cheng , Jie Song , Mingli Song , Zunlei Feng

Although deep learning has yielded impressive performance for face recognition, many studies have shown that different networks learn different feature maps: while some networks are more receptive to pose and illumination others appear to…

Computer Vision and Pattern Recognition · Computer Science 2017-02-16 Navaneeth Bodla , Jingxiao Zheng , Hongyu Xu , Jun-Cheng Chen , Carlos Castillo , Rama Chellappa

Recent advancements in Gaussian Splatting have enabled increasingly accurate reconstruction of photorealistic head avatars, opening the door to numerous applications in visual effects, videoconferencing, and virtual reality. This, however,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Kelian Baert , Mae Younes , Francois Bourel , Marc Christie , Adnane Boukhayma

Synthesizing high-quality 3D face models from natural language descriptions is very valuable for many applications, including avatar creation, virtual reality, and telepresence. However, little research ever tapped into this task. We argue…

Computer Vision and Pattern Recognition · Computer Science 2023-05-08 Menghua Wu , Hao Zhu , Linjia Huang , Yiyu Zhuang , Yuanxun Lu , Xun Cao

Numerous style transfer methods which produce artistic styles of portraits have been proposed to date. However, the inverse problem of converting the stylized portraits back into realistic faces is yet to be investigated thoroughly.…

Computer Vision and Pattern Recognition · Computer Science 2018-02-06 Fatemeh Shiri , Xin Yu , Fatih Porikli , Piotr Koniusz

Generating high-quality, photorealistic textures for 3D human avatars remains a fundamental yet challenging task in computer vision and multimedia field. However, real paired front and back images of human subjects are rarely available with…

Graphics · Computer Science 2026-04-10 Mingxiao Tu , Shuchang Ye , Hoijoon Jung , Jinman Kim

Facial appearance plays an important role in our social lives. Subjective perception of women's beauty depends on various face-related (e.g., skin, shape, hair) and environmental (e.g., makeup, lighting, angle) factors. Similar to cosmetic…

Computer Vision and Pattern Recognition · Computer Science 2019-12-12 Xudong Liu , Ruizhe Wang , Chih-Fan Chen , Minglei Yin , Hao Peng , Shukhan Ng , Xin Li