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Related papers: RaBit: Parametric Modeling of 3D Biped Cartoon Cha…

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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

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

Recovering photorealistic and drivable full-body avatars is crucial for numerous applications, including virtual reality, 3D games, and tele-presence. Most methods, whether reconstruction or generation, require large numbers of human motion…

Computer Vision and Pattern Recognition · Computer Science 2024-05-31 Yujiao Jiang , Qingmin Liao , Zhaolong Wang , Xiangru Lin , Zongqing Lu , Yuxi Zhao , Hanqing Wei , Jingrui Ye , Yu Zhang , Zhijing Shao

We propose a deep videorealistic 3D human character model displaying highly realistic shape, motion, and dynamic appearance learned in a new weakly supervised way from multi-view imagery. In contrast to previous work, our controllable 3D…

Computer Vision and Pattern Recognition · Computer Science 2021-09-01 Marc Habermann , Lingjie Liu , Weipeng Xu , Michael Zollhoefer , Gerard Pons-Moll , Christian Theobalt

Recovering textured 3D models of non-rigid human body shapes is challenging due to self-occlusions caused by complex body poses and shapes, clothing obstructions, lack of surface texture, background clutter, sparse set of cameras with…

Computer Vision and Pattern Recognition · Computer Science 2018-09-19 Abbhinav Venkat , Sai Sagar Jinka , Avinash Sharma

Humans perceive and construct the surrounding world as an arrangement of simple parametric models. In particular, man-made environments commonly consist of volumetric primitives such as cuboids or cylinders. Inferring these primitives is an…

Computer Vision and Pattern Recognition · Computer Science 2021-05-06 Florian Kluger , Hanno Ackermann , Eric Brachmann , Michael Ying Yang , Bodo Rosenhahn

Movie productions use high resolution 3d characters with complex proprietary rigs to create the highest quality images possible for large displays. Unfortunately, these 3d assets are typically not compatible with real-time graphics engines…

Graphics · Computer Science 2020-03-24 Dominik Borer , Lu Yuhang , Laura Wuelfroth , Jakob Buhmann , Martin Guay

We present three biometric datasets (iCarB-Face, iCarB-Fingerprint, iCarB-Voice) containing face videos, fingerprint images, and voice samples, collected inside a car from 200 consenting volunteers. The data was acquired using a…

Computer Vision and Pattern Recognition · Computer Science 2024-11-27 Vedrana Krivokuca Hahn , Jeremy Maceiras , Alain Komaty , Philip Abbet , Sebastien Marcel

This paper introduces RABBIT, a novel robot-assisted bed bathing system designed to address the growing need for assistive technologies in personal hygiene tasks. It combines multimodal perception and dual (software and hardware) compliance…

Visual generation with discrete tokens has gained significant attention as it enables a unified token prediction paradigm shared with language models, promising seamless multimodal architectures. However, current discrete generation methods…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Yuqing Wang , Chuofan Ma , Zhijie Lin , Yao Teng , Lijun Yu , Shuai Wang , Jiaming Han , Jiashi Feng , Yi Jiang , Xihui Liu

Existing neural rendering methods for creating human avatars typically either require dense input signals such as video or multi-view images, or leverage a learned prior from large-scale specific 3D human datasets such that reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2023-09-28 Yangyi Huang , Hongwei Yi , Weiyang Liu , Haofan Wang , Boxi Wu , Wenxiao Wang , Binbin Lin , Debing Zhang , Deng Cai

With the rapid evolution of 3D generation algorithms, the cost of producing 3D humanoid character models has plummeted, yet the field is impeded by the lack of a comprehensive dataset for automatic rigging, which is a pivotal step in…

Computer Vision and Pattern Recognition · Computer Science 2024-12-04 Zedong Chu , Feng Xiong , Meiduo Liu , Jinzhi Zhang , Mingqi Shao , Zhaoxu Sun , Di Wang , Mu Xu

With the rapid advancement of 3D representation techniques and generative models, substantial progress has been made in reconstructing full-body 3D avatars from a single image. However, this task remains fundamentally ill-posedness due to…

Computer Vision and Pattern Recognition · Computer Science 2025-09-17 Gaofeng Liu , Hengsen Li , Ruoyu Gao , Xuetong Li , Zhiyuan Ma , Tao Fang

Current advances in human head modeling allow the generation of plausible-looking 3D head models via neural representations, such as NeRFs and SDFs. Nevertheless, constructing complete high-fidelity head models with explicitly controlled…

Computer Vision and Pattern Recognition · Computer Science 2025-02-03 Artem Sevastopolsky , Philip-William Grassal , Simon Giebenhain , ShahRukh Athar , Luisa Verdoliva , Matthias Niessner

Synthetic data is becoming increasingly common for training computer vision models for a variety of tasks. Notably, such data has been applied in tasks related to humans such as 3D pose estimation where data is either difficult to create or…

Computer Vision and Pattern Recognition · Computer Science 2021-07-21 Jake Deane , Sinead Kearney , Kwang In Kim , Darren Cosker

This paper introduces a public dataset of 1.4 million procedurally-generated bicycle designs represented parametrically, as JSON files, and as rasterized images. The dataset is created through the use of a rendering engine which harnesses…

Computer Vision and Pattern Recognition · Computer Science 2024-02-13 Lyle Regenwetter , Yazan Abu Obaideh , Amin Heyrani Nobari , Faez Ahmed

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

Creating personalized hand avatars is important to offer a realistic experience to users on AR / VR platforms. While most prior studies focused on reconstructing 3D hand shapes, some recent work has tackled the reconstruction of hand…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Minje Kim , Tae-Kyun Kim

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

We are witnessing a proliferation of textured 3D models captured from the real world with automatic photo-reconstruction tools. Digital 3D models of this class come with a unique set of characteristics and defects -- especially concerning…

Graphics · Computer Science 2020-12-29 Andrea Maggiordomo , Federico Ponchio , Paolo Cignoni , Marco Tarini
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