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Related papers: Make-It-Animatable: An Efficient Framework for Aut…

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SmartAvatar is a vision-language-agent-driven framework for generating fully rigged, animation-ready 3D human avatars from a single photo or textual prompt. While diffusion-based methods have made progress in general 3D object generation,…

Computer Vision and Pattern Recognition · Computer Science 2025-06-06 Alexander Huang-Menders , Xinhang Liu , Andy Xu , Yuyao Zhang , Chi-Keung Tang , Yu-Wing Tai

Character video synthesis aims to produce realistic videos of animatable characters within lifelike scenes. As a fundamental problem in the computer vision and graphics community, 3D works typically require multi-view captures for per-case…

Computer Vision and Pattern Recognition · Computer Science 2025-06-12 Yifang Men , Yuan Yao , Miaomiao Cui , Liefeng Bo

Modeling relightable and animatable human avatars from monocular video is a long-standing and challenging task. Recently, Neural Radiance Field (NeRF) and 3D Gaussian Splatting (3DGS) methods have been employed to reconstruct the avatars.…

Computer Vision and Pattern Recognition · Computer Science 2025-12-12 Seonghwa Choi , Moonkyeong Choi , Mingyu Jang , Jaekyung Kim , Jianfei Cai , Wen-Huang Cheng , Sanghoon Lee

The creation of 3D human avatars from multi-view videos is a significant yet challenging task in computer vision. However, existing techniques rely on high-quality, sharp images as input, which are often impractical to obtain in real-world…

Computer Vision and Pattern Recognition · Computer Science 2026-03-06 Muyao Niu , Yifan Zhan , Qingtian Zhu , Zhuoxiao Li , Wei Wang , Zhihang Zhong , Xiao Sun , Yinqiang Zheng

Recent diffusion-based methods have achieved impressive results on animating images of human subjects. However, most of that success has built on human-specific body pose representations and extensive training with labeled real videos. In…

Graphics · Computer Science 2025-03-21 Zeqi Gu , Difan Liu , Timothy Langlois , Matthew Fisher , Abe Davis

The demand for realistic and versatile character animation has surged, driven by its wide-ranging applications in various domains. However, the animation generation algorithms modeling human pose with 2D or 3D structures all face various…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Tianyu Sun , Zhoujie Fu , Bang Zhang , Guosheng Lin

Fast and light-weight methods for animating 3D characters are desirable in various applications such as computer games. We present a learning-based approach to enhance skinning-based animations of 3D characters with vivid secondary motion…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Mianlun Zheng , Yi Zhou , Duygu Ceylan , Jernej Barbič

Existing single-image 3D human avatar methods primarily rely on rigid joint transformations, limiting their ability to model realistic cloth dynamics. We present DynaAvatar, a zero-shot framework that reconstructs animatable 3D human…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Joohyun Kwon , Geonhee Sim , Gyeongsik Moon

Advances in deep neural networks have considerably improved the art of animating a still image without operating in 3D domain. Whereas, prior arts can only animate small images (typically no larger than 512x512) due to memory limitations,…

Computer Vision and Pattern Recognition · Computer Science 2020-08-04 Zili Yi , Qiang Tang , Vishnu Sanjay Ramiya Srinivasan , Zhan Xu

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

Audio-driven 3D face animation is increasingly vital in live streaming and augmented reality applications. While remarkable progress has been observed, most existing approaches are designed for specific individuals with predefined speaking…

Graphics · Computer Science 2024-08-20 Xukun Zhou , Fengxin Li , Ziqiao Peng , Kejian Wu , Jun He , Biao Qin , Zhaoxin Fan , Hongyan Liu

As the digital and physical worlds become more intertwined, there has been a lot of interest in digital avatars that closely resemble their real-world counterparts. Current digitization methods used in 3D production pipelines require costly…

Computer Vision and Pattern Recognition · Computer Science 2025-03-20 Yifan Wang , Ivan Molodetskikh , Ondrej Texler , Dimitar Dinev

The ability to generate diverse 3D articulated head avatars is vital to a plethora of applications, including augmented reality, cinematography, and education. Recent work on text-guided 3D object generation has shown great promise in…

Computer Vision and Pattern Recognition · Computer Science 2023-07-12 Alexander W. Bergman , Wang Yifan , Gordon Wetzstein

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

Creating high-fidelity 3D human head avatars is crucial for applications in VR/AR, digital human, and film production. Recent advances have leveraged morphable face models to generate animated head avatars from easily accessible data,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-24 Yuelang Xu , Zhaoqi Su , Qingyao Wu , Yebin Liu

Pose-guided human image animation aims to synthesize realistic videos of a reference character driven by a sequence of poses. While diffusion-based methods have achieved remarkable success, most existing approaches are limited to…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Yingcheng Hu , Haowen Gong , Chuanguang Yang , Zhulin An , Yongjun Xu , Songhua Liu

Creating realistic 3D head assets for virtual characters that match a precise artistic vision remains labor-intensive. We present a novel framework that streamlines this process by providing artists with intuitive control over generated 3D…

For designing a wide range of everyday objects, the design process should be aware of both the human body and the underlying semantics of the design specification. However, these two objectives present significant challenges to the current…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Michelle Guo , Mia Tang , Hannah Cha , Ruohan Zhang , C. Karen Liu , Jiajun Wu

Creating animatable 3D avatars from a single image remains challenging due to style limitations (realistic, cartoon, anime) and difficulties in handling accessories or hairstyles. While 3D diffusion models advance single-view reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2025-05-20 Tingting Liao , Yujian Zheng , Adilbek Karmanov , Liwen Hu , Leyang Jin , Yuliang Xiu , Hao Li

Stylized 3D avatars have become increasingly prominent in our modern life. Creating these avatars manually usually involves laborious selection and adjustment of continuous and discrete parameters and is time-consuming for average users.…

Computer Vision and Pattern Recognition · Computer Science 2022-11-16 Shen Sang , Tiancheng Zhi , Guoxian Song , Minghao Liu , Chunpong Lai , Jing Liu , Xiang Wen , James Davis , Linjie Luo
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