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We present an end-to-end virtual try-on pipeline, that can fit different clothes on a personalized 3-D human model, reconstructed using a single RGB image. Our main idea is to construct an animatable 3-D human model and try-on different…

Computer Vision and Pattern Recognition · Computer Science 2022-10-18 Gayal Kuruppu , Bumuthu Dilshan , Shehan Samarasinghe , Nipuna Madhushan , Ranga Rodrigo

Building 3D animatable head avatars from a single image is an important yet challenging problem. Existing methods generally collapse under large camera pose variations, compromising the realism of 3D avatars. In this work, we propose a new…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Shuling Zhao , Dan Xu

Despite the growing accessibility of skeletal motion data, integrating it for animating character meshes remains challenging due to diverse configurations of both skeletons and meshes. Specifically, the body scale and bone lengths of the…

Graphics · Computer Science 2025-03-19 Seokhyeon Hong , Soojin Choi , Chaelin Kim , Sihun Cha , Junyong Noh

In this paper, we propose ARCH (Animatable Reconstruction of Clothed Humans), a novel end-to-end framework for accurate reconstruction of animation-ready 3D clothed humans from a monocular image. Existing approaches to digitize 3D humans…

Graphics · Computer Science 2020-04-14 Zeng Huang , Yuanlu Xu , Christoph Lassner , Hao Li , Tony Tung

We present a novel approach for generating animatable 3D-aware art avatars from a single image, with controllable facial expressions, head poses, and shoulder movements. Unlike previous reenactment methods, our approach utilizes a…

Computer Vision and Pattern Recognition · Computer Science 2024-03-27 Shaoxu Li

Generating animatable human avatars from a single image is essential for various digital human modeling applications. Existing 3D reconstruction methods often struggle to capture fine details in animatable models, while generative…

Computer Vision and Pattern Recognition · Computer Science 2024-12-04 Lingteng Qiu , Shenhao Zhu , Qi Zuo , Xiaodong Gu , Yuan Dong , Junfei Zhang , Chao Xu , Zhe Li , Weihao Yuan , Liefeng Bo , Guanying Chen , Zilong Dong

We introduce TADA, a simple-yet-effective approach that takes textual descriptions and produces expressive 3D avatars with high-quality geometry and lifelike textures, that can be animated and rendered with traditional graphics pipelines.…

Artificial Intelligence · Computer Science 2023-08-22 Tingting Liao , Hongwei Yi , Yuliang Xiu , Jiaxaing Tang , Yangyi Huang , Justus Thies , Michael J. Black

Neural radiance fields are capable of reconstructing high-quality drivable human avatars but are expensive to train and render and not suitable for multi-human scenes with complex shadows. To reduce consumption, we propose Animatable 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Yang Liu , Xiang Huang , Minghan Qin , Qinwei Lin , Haoqian Wang

To integrate digital humans into everyday life, there is a strong demand for generating high-quality, fine-grained disentangled 3D avatars that support expressive animation and simulation capabilities, ideally from low-cost textual inputs.…

Computer Vision and Pattern Recognition · Computer Science 2026-02-25 Xiaokun Sun , Zhenyu Zhang , Ying Tai , Hao Tang , Zili Yi , Jian Yang

We present a novel framework for generating high-quality, animatable 4D avatar from a single image. While recent advances have shown promising results in 4D avatar creation, existing methods either require extensive multiview data or…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Fei Yin , Mallikarjun B R , Chun-Han Yao , Rafał Mantiuk , Varun Jampani

This paper presents a method that can quickly adapt dynamic 3D avatars to arbitrary text descriptions of novel styles. Among existing approaches for avatar stylization, direct optimization methods can produce excellent results for arbitrary…

Computer Vision and Pattern Recognition · Computer Science 2023-05-31 Thu Nguyen-Phuoc , Gabriel Schwartz , Yuting Ye , Stephen Lombardi , Lei Xiao

We have recently seen great progress in building photorealistic animatable full-body codec avatars, but generating high-fidelity animation of clothing is still difficult. To address these difficulties, we propose a method to build an…

Computer Vision and Pattern Recognition · Computer Science 2021-10-07 Donglai Xiang , Fabian Prada , Timur Bagautdinov , Weipeng Xu , Yuan Dong , He Wen , Jessica Hodgins , Chenglei Wu

We present DreamWaltz, a novel framework for generating and animating complex 3D avatars given text guidance and parametric human body prior. While recent methods have shown encouraging results for text-to-3D generation of common objects,…

Computer Vision and Pattern Recognition · Computer Science 2023-11-07 Yukun Huang , Jianan Wang , Ailing Zeng , He Cao , Xianbiao Qi , Yukai Shi , Zheng-Jun Zha , Lei Zhang

Realistic animatable human avatars from monocular videos are crucial for advancing human-robot interaction and enhancing immersive virtual experiences. While recent research on 3DGS-based human avatars has made progress, it still struggles…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Guangan Jiang , Tianzi Zhang , Dong Li , Zhenjun Zhao , Haoang Li , Mingrui Li , Hongyu Wang

Physically-based simulation is a powerful approach for 3D facial animation as the resulting deformations are governed by physical constraints, allowing to easily resolve self-collisions, respond to external forces and perform realistic…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Lingchen Yang , Gaspard Zoss , Prashanth Chandran , Markus Gross , Barbara Solenthaler , Eftychios Sifakis , Derek Bradley

In this paper, we present an end-to-end pipeline for the creation of high-quality animatable volumetric video content of human performances. Going beyond the application of free-viewpoint volumetric video, we allow re-animation and…

Computer Vision and Pattern Recognition · Computer Science 2020-09-03 Anna Hilsmann , Philipp Fechteler , Wieland Morgenstern , Wolfgang Paier , Ingo Feldmann , Oliver Schreer , Peter Eisert

We present a method to build animatable dog avatars from monocular videos. This is challenging as animals display a range of (unpredictable) non-rigid movements and have a variety of appearance details (e.g., fur, spots, tails). We develop…

Computer Vision and Pattern Recognition · Computer Science 2024-03-27 Remy Sabathier , Niloy J. Mitra , David Novotny

Recent advances in neural radiance fields enable novel view synthesis of photo-realistic images in dynamic settings, which can be applied to scenarios with human animation. Commonly used implicit backbones to establish accurate models,…

Computer Vision and Pattern Recognition · Computer Science 2023-12-27 HyunJun Jung , Nikolas Brasch , Jifei Song , Eduardo Perez-Pellitero , Yiren Zhou , Zhihao Li , Nassir Navab , Benjamin Busam

The generation of high-quality, animatable 3D head avatars from text has enormous potential in content creation applications such as games, movies, and embodied virtual assistants. Current text-to-3D generation methods typically combine…

Computer Vision and Pattern Recognition · Computer Science 2025-04-23 Yiqian Wu , Malte Prinzler , Xiaogang Jin , Siyu Tang

With the rapid development of Role-Playing Games (RPGs), players are now allowed to edit the facial appearance of their in-game characters with their preferences rather than using default templates. This paper proposes a game character…

Computer Vision and Pattern Recognition · Computer Science 2020-08-18 Tianyang Shi , Zhengxia Zou , Yi Yuan , Changjie Fan