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Generating high-fidelity human video with specified identities has attracted significant attention in the content generation community. However, existing techniques struggle to strike a balance between training efficiency and identity…

Computer Vision and Pattern Recognition · Computer Science 2024-06-26 Xuanhua He , Quande Liu , Shengju Qian , Xin Wang , Tao Hu , Ke Cao , Keyu Yan , Jie Zhang

Attribute guided face image synthesis aims to manipulate attributes on a face image. Most existing methods for image-to-image translation can either perform a fixed translation between any two image domains using a single attribute or…

Computer Vision and Pattern Recognition · Computer Science 2019-05-02 Behzad Bozorgtabar , Mohammad Saeed Rad , Hazım Kemal Ekenel , Jean-Philippe Thiran

Creating and animating 3D biped cartoon characters is crucial and valuable in various applications. Compared with geometry, the diverse texture design plays an important role in making 3D biped cartoon characters vivid and charming.…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Junshu Tang , Yanhong Zeng , Ke Fan , Xuheng Wang , Bo Dai , Kai Chen , Lizhuang Ma

Reconstructing a complete 3D head from a single portrait remains challenging because existing methods still face a sharp quality-speed trade-off: high-fidelity pipelines often rely on multi-stage processing and per-subject optimization,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-16 Yujie Gao , Yao Xiao , Xiangnan Zhu , Ya Li , Yiyi Zhang , Liqing Zhang , Jianfu Zhang

We present a real-time deep learning framework for video-based facial performance capture -- the dense 3D tracking of an actor's face given a monocular video. Our pipeline begins with accurately capturing a subject using a high-end…

Computer Vision and Pattern Recognition · Computer Science 2017-06-05 Samuli Laine , Tero Karras , Timo Aila , Antti Herva , Shunsuke Saito , Ronald Yu , Hao Li , Jaakko Lehtinen

AI-based image generation has continued to rapidly improve, producing increasingly more realistic images with fewer obvious visual flaws. AI-generated images are being used to create fake online profiles which in turn are being used for…

Computer Vision and Pattern Recognition · Computer Science 2024-04-08 Gonzalo J. Aniano Porcile , Jack Gindi , Shivansh Mundra , James R. Verbus , Hany Farid

With the growing popularity of ACG (Anime, Comics, and Games) culture, generating high-quality anime character images has become an important research topic. This paper introduces a novel Generative Adversarial Network model, USE-CMHSA-GAN,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-19 J. Lu

The 2D cartoon style is a prominent art form in digital character creation, particularly popular among younger audiences. While advancements in digital human technology have spurred extensive research into photorealistic digital humans and…

Computer Vision and Pattern Recognition · Computer Science 2025-02-05 Chao He , Jianqiang Ren , Yuan Dong , Jianjing Xiang , Xiejie Shen , Weihao Yuan , Liefeng Bo

Explanatory images play a pivotal role in accessible and easy-to-read (E2R) texts. However, the images available in online databases are not tailored toward the respective texts, and the creation of customized images is expensive. In this…

Computer Vision and Pattern Recognition · Computer Science 2024-10-07 Miriam Anschütz , Tringa Sylaj , Georg Groh

Text-to-image generation model is able to generate images across a diverse range of subjects and styles based on a single prompt. Recent works have proposed a variety of interaction methods that help users understand the capabilities of…

Human-Computer Interaction · Computer Science 2023-07-19 Seungho Baek , Hyerin Im , Jiseung Ryu , Juhyeong Park , Takyeon Lee

Generating high-quality and diverse human images is an important yet challenging task in vision and graphics. However, existing generative models often fall short under the high diversity of clothing shapes and textures. Furthermore, the…

Computer Vision and Pattern Recognition · Computer Science 2022-06-01 Yuming Jiang , Shuai Yang , Haonan Qiu , Wayne Wu , Chen Change Loy , Ziwei Liu

Personalized image generation, where reference images of one or more subjects are used to generate their image according to a scene description, has gathered significant interest in the community. However, such generated images suffer from…

Computer Vision and Pattern Recognition · Computer Science 2025-07-23 Parul Gupta , Abhinav Dhall , Thanh-Toan Do

Caricature is an artistic drawing created to abstract or exaggerate facial features of a person. Rendering visually pleasing caricatures is a difficult task that requires professional skills, and thus it is of great interest to design a…

Computer Vision and Pattern Recognition · Computer Science 2020-08-14 Wenqing Chu , Wei-Chih Hung , Yi-Hsuan Tsai , Yu-Ting Chang , Yijun Li , Deng Cai , Ming-Hsuan Yang

High-fidelity and efficient audio-driven talking head generation has been a key research topic in computer graphics and computer vision. In this work, we study vector image based audio-driven talking head generation. Compared with directly…

Computer Vision and Pattern Recognition · Computer Science 2023-12-20 Hao Hu , Xuan Wang , Jingxiang Sun , Yanbo Fan , Yu Guo , Caigui Jiang

Text-guided human motion generation has drawn significant interest because of its impactful applications spanning animation and robotics. Recently, application of diffusion models for motion generation has enabled improvements in the…

Computer Vision and Pattern Recognition · Computer Science 2023-05-17 Samaneh Azadi , Akbar Shah , Thomas Hayes , Devi Parikh , Sonal Gupta

High-quality textures are critical for realistic 3D content creation, yet existing generative methods are slow, rely on UV maps, and often fail to remain faithful to a reference image. To address these challenges, we propose a…

Computer Vision and Pattern Recognition · Computer Science 2025-09-08 Arianna Rampini , Kanika Madan , Bruno Roy , AmirHossein Zamani , Derek Cheung

Since the beginning of the COVID-19 pandemic, remote conferencing and school-teaching have become important tools. The previous applications aim to save the commuting cost with real-time interactions. However, our application is going to…

Artificial Intelligence · Computer Science 2022-10-14 Aolan Sun , Xulong Zhang , Tiandong Ling , Jianzong Wang , Ning Cheng , Jing Xiao

In text-to-image generation, producing a series of consistent contents that preserve the same identity is highly valuable for real-world applications. Although a few works have explored training-free methods to enhance the consistency of…

Computer Vision and Pattern Recognition · Computer Science 2025-07-16 Mengyu Wang , Henghui Ding , Jianing Peng , Yao Zhao , Yunpeng Chen , Yunchao Wei

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

Creating high-fidelity, animatable 3D talking heads is crucial for immersive applications, yet often hindered by the prevalence of low-quality image or video sources, which yield poor 3D reconstructions. In this paper, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Ding-Jiun Huang , Yuanhao Wang , Shao-Ji Yuan , Albert Mosella-Montoro , Francisco Vicente Carrasco , Cheng Zhang , Fernando De la Torre
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