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Many methods have been proposed over the years to tackle the task of facial 3D geometry and texture recovery from a single image. Such methods often fail to provide high-fidelity texture without relying on 3D facial scans during training.…

Computer Vision and Pattern Recognition · Computer Science 2021-10-12 Ron Slossberg , Ibrahim Jubran , Ron Kimmel

Toward unlocking the potential of generative models in immersive 4D experiences, we introduce Virtual Pet, a novel pipeline to model realistic and diverse motions for target animal species within a 3D environment. To circumvent the limited…

Computer Vision and Pattern Recognition · Computer Science 2023-12-22 Yen-Chi Cheng , Chieh Hubert Lin , Chaoyang Wang , Yash Kant , Sergey Tulyakov , Alexander Schwing , Liangyan Gui , Hsin-Ying Lee

Despite recent progress in developing animatable full-body avatars, realistic modeling of clothing - one of the core aspects of human self-expression - remains an open challenge. State-of-the-art physical simulation methods can generate…

A human 3D avatar is one of the important elements in the metaverse, and the modeling effect directly affects people's visual experience. However, the human body has a complex topology and diverse details, so it is often expensive,…

Computer Vision and Pattern Recognition · Computer Science 2023-06-07 Mingyang Sun , Dingkang Yang , Dongliang Kou , Yang Jiang , Weihua Shan , Zhe Yan , Lihua Zhang

We introduce SimAvatar, a framework designed to generate simulation-ready clothed 3D human avatars from a text prompt. Current text-driven human avatar generation methods either model hair, clothing, and the human body using a unified…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Xueting Li , Ye Yuan , Shalini De Mello , Gilles Daviet , Jonathan Leaf , Miles Macklin , Jan Kautz , Umar Iqbal

Reenacting facial images is an important task that can find numerous applications. We proposed IFaceUV, a fully differentiable pipeline that properly combines 2D and 3D information to conduct the facial reenactment task. The…

Computer Vision and Pattern Recognition · Computer Science 2023-06-09 Hansol Lee , Yunhoe Ku , Eunseo Kim , Seungryul Baek

Creating realistic 3D objects and clothed avatars from a single RGB image is an attractive yet challenging problem. Due to its ill-posed nature, recent works leverage powerful prior from 2D diffusion models pretrained on large datasets.…

Computer Vision and Pattern Recognition · Computer Science 2025-11-27 Yuxuan Xue , Xianghui Xie , Riccardo Marin , Gerard Pons-Moll

Over the last years, with the advent of Generative Adversarial Networks (GANs), many face analysis tasks have accomplished astounding performance, with applications including, but not limited to, face generation and 3D face reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2020-04-01 Alexandros Lattas , Stylianos Moschoglou , Baris Gecer , Stylianos Ploumpis , Vasileios Triantafyllou , Abhijeet Ghosh , Stefanos Zafeiriou

In this paper, we propose a generic neural-based hair rendering pipeline that can synthesize photo-realistic images from virtual 3D hair models. Unlike existing supervised translation methods that require model-level similarity to preserve…

Computer Vision and Pattern Recognition · Computer Science 2020-07-23 Menglei Chai , Jian Ren , Sergey Tulyakov

Generating and editing dynamic 3D head avatars are crucial tasks in virtual reality and film production. However, existing methods often suffer from facial distortions, inaccurate head movements, and limited fine-grained editing…

Graphics · Computer Science 2024-11-26 Yangyang Qian , Yuan Sun , Yu Guo

Although human reconstruction typically results in human-specific avatars, recent 3D scene reconstruction techniques utilizing pixel-aligned features show promise in generalizing to new scenes. Applying these techniques to human avatar…

Computer Vision and Pattern Recognition · Computer Science 2023-10-18 Jinlong Fan , Jing Zhang , Zhi Hou , Dacheng Tao

We present a framework for generating full-bodied photorealistic avatars that gesture according to the conversational dynamics of a dyadic interaction. Given speech audio, we output multiple possibilities of gestural motion for an…

Computer Vision and Pattern Recognition · Computer Science 2024-01-04 Evonne Ng , Javier Romero , Timur Bagautdinov , Shaojie Bai , Trevor Darrell , Angjoo Kanazawa , Alexander Richard

Real-time rendering of human head avatars is a cornerstone of many computer graphics applications, such as augmented reality, video games, and films, to name a few. Recent approaches address this challenge with computationally efficient…

Computer Vision and Pattern Recognition · Computer Science 2024-09-19 Kartik Teotia , Hyeongwoo Kim , Pablo Garrido , Marc Habermann , Mohamed Elgharib , Christian Theobalt

We present a novel volumetric animation generation framework to create new types of animations from raw 3D surface or point cloud sequence of captured real performances. The framework considers as input time incoherent 3D observations of a…

Graphics · Computer Science 2016-01-14 Benjamin Allain , Li Wang , Jean-Sebastien Franco , Franck Hetroy , Edmond Boyer

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

Production-level workflows for producing convincing 3D dynamic human faces have long relied on an assortment of labor-intensive tools for geometry and texture generation, motion capture and rigging, and expression synthesis. Recent neural…

Computer Vision and Pattern Recognition · Computer Science 2022-09-19 Longwen Zhang , Chuxiao Zeng , Qixuan Zhang , Hongyang Lin , Ruixiang Cao , Wei Yang , Lan Xu , Jingyi Yu

Reconstructing photorealistic and dynamic portrait avatars from images is essential to many applications including advertising, visual effects, and virtual reality. Depending on the application, avatar reconstruction involves different…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Felix Taubner , Ruihang Zhang , Mathieu Tuli , David B. Lindell

3D avatar creation plays a crucial role in the digital age. However, the whole production process is prohibitively time-consuming and labor-intensive. To democratize this technology to a larger audience, we propose AvatarCLIP, a zero-shot…

Computer Vision and Pattern Recognition · Computer Science 2022-05-18 Fangzhou Hong , Mingyuan Zhang , Liang Pan , Zhongang Cai , Lei Yang , Ziwei Liu

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

Digital humans and, especially, 3D facial avatars have raised a lot of attention in the past years, as they are the backbone of several applications like immersive telepresence in AR or VR. Despite the progress, facial avatars reconstructed…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Berna Kabadayi , Wojciech Zielonka , Bharat Lal Bhatnagar , Gerard Pons-Moll , Justus Thies
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