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Universal style transfer is an image editing task that renders an input content image using the visual style of arbitrary reference images, including both artistic and photorealistic stylization. Given a pair of images as the source of…

Computer Vision and Pattern Recognition · Computer Science 2019-07-09 Jie An , Haoyi Xiong , Jiebo Luo , Jun Huan , Jinwen Ma

Facial texture generation is crucial for high-fidelity 3D face reconstruction from a single image. However, existing methods struggle to generate UV albedo maps with high-frequency details. To address this challenge, we propose a novel…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Jiashu Dai , Along Wang , Binfan Ni , Tao Cao

We present an approach to generate high fidelity 3D face avatar with a high-resolution UV texture map from a single image. To estimate the face geometry, we use a deep neural network to directly predict vertex coordinates of the 3D face…

Computer Vision and Pattern Recognition · Computer Science 2019-12-10 Ruizhe Wang , Chih-Fan Chen , Hao Peng , Xudong Liu , Oliver Liu , Xin Li

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

Recent advances in 3D avatar generation have gained significant attentions. These breakthroughs aim to produce more realistic animatable avatars, narrowing the gap between virtual and real-world experiences. Most of existing works employ…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Mingyuan Zhou , Rakib Hyder , Ziwei Xuan , Guojun Qi

Recovering high-quality 3D facial textures from single-view 2D images is a challenging task, especially under constraints of limited data and complex facial details such as makeup, wrinkles, and occlusions. In this paper, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Xingchao Yang , Takafumi Taketomi , Yuki Endo , Yoshihiro Kanamori

We present UniTEX, a novel two-stage 3D texture generation framework to create high-quality, consistent textures for 3D assets. Existing approaches predominantly rely on UV-based inpainting to refine textures after reprojecting the…

Computer Vision and Pattern Recognition · Computer Science 2025-05-30 Yixun Liang , Kunming Luo , Xiao Chen , Rui Chen , Hongyu Yan , Weiyu Li , Jiarui Liu , Ping Tan

Building photorealistic, animatable full-body digital humans remains a longstanding challenge in computer graphics and vision. Recent advances in animatable avatar modeling have largely progressed along two directions: improving the…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Heming Zhu , Guoxing Sun , Marc Habermann

While high fidelity and efficiency are central to the creation of digital head avatars, recent methods relying on 2D or 3D generative models often experience limitations such as shape distortion, expression inaccuracy, and identity…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Xiaochen Zhao , Jingxiang Sun , Lizhen Wang , Jinli Suo , Yebin Liu

Rendering photorealistic and dynamically moving human heads is crucial for ensuring a pleasant and immersive experience in AR/VR and video conferencing applications. However, existing methods often struggle to model challenging facial…

Computer Vision and Pattern Recognition · Computer Science 2026-02-20 Cong Wang , Di Kang , Yan-Pei Cao , Linchao Bao , Ying Shan , Song-Hai Zhang

Virtual Reality (VR) bares promise of social interactions that can feel more immersive than other media. Key to this is the ability to accurately animate a personalized photorealistic avatar, and hence the acquisition of the labels for…

Computer Vision and Pattern Recognition · Computer Science 2024-07-22 Chaitanya Patel , Shaojie Bai , Te-Li Wang , Jason Saragih , Shih-En Wei

With NeRF widely used for facial reenactment, recent methods can recover photo-realistic 3D head avatar from just a monocular video. Unfortunately, the training process of the NeRF-based methods is quite time-consuming, as MLP used in the…

Computer Vision and Pattern Recognition · Computer Science 2023-05-04 Yuelang Xu , Lizhen Wang , Xiaochen Zhao , Hongwen Zhang , Yebin Liu

Photorealistic style transfer aims to apply stylization while preserving the realism and structure of input content. However, existing methods often encounter challenges such as color tone distortions, dependency on pair-wise pre-training,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-22 Rong Liu , Enyu Zhao , Zhiyuan Liu , Andrew Feng , Scott John Easley

Facial expression retargeting from humans to virtual characters is a useful technique in computer graphics and animation. Traditional methods use markers or blendshapes to construct a mapping between the human and avatar faces. However,…

Computer Vision and Pattern Recognition · Computer Science 2020-08-13 Juyong Zhang , Keyu Chen , Jianmin Zheng

We present EucliDreamer, a simple and effective method to generate textures for 3D models given text prompts and meshes. The texture is parametrized as an implicit function on the 3D surface, which is optimized with the Score Distillation…

Computer Vision and Pattern Recognition · Computer Science 2024-04-17 Cindy Le , Congrui Hetang , Chendi Lin , Ang Cao , Yihui He

Facial expression transfer and reenactment has been an important research problem given its applications in face editing, image manipulation, and fabricated videos generation. We present a novel method for image-based facial expression…

Computer Vision and Pattern Recognition · Computer Science 2019-12-16 Chao Yang , Ser-Nam Lim

We present a novel U-Attention vision Transformer for universal texture synthesis. We exploit the natural long-range dependencies enabled by the attention mechanism to allow our approach to synthesize diverse textures while preserving their…

Computer Vision and Pattern Recognition · Computer Science 2024-08-09 Shouchang Guo , Valentin Deschaintre , Douglas Noll , Arthur Roullier

With the booming of virtual reality (VR) technology, there is a growing need for customized 3D avatars. However, traditional methods for 3D avatar modeling are either time-consuming or fail to retain similarity to the person being modeled.…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Chuanyu Pan , Guowei Yang , Taijiang Mu , Yu-Kun Lai

Transferring artistic styles onto everyday photographs has become an extremely popular task in both academia and industry. Recently, offline training has replaced on-line iterative optimization, enabling nearly real-time stylization. When…

Computer Vision and Pattern Recognition · Computer Science 2017-12-01 Xin Wang , Geoffrey Oxholm , Da Zhang , Yuan-Fang Wang

Current talking face generation methods mainly focus on speech-lip synchronization. However, insufficient investigation on the facial talking style leads to a lifeless and monotonous avatar. Most previous works fail to imitate expressive…

Computer Vision and Pattern Recognition · Computer Science 2024-11-21 Liyang Chen , Zhiyong Wu , Runnan Li , Weihong Bao , Jun Ling , Xu Tan , Sheng Zhao