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Modeling animatable human avatars from RGB videos is a long-standing and challenging problem. Recent works usually adopt MLP-based neural radiance fields (NeRF) to represent 3D humans, but it remains difficult for pure MLPs to regress…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Zhe Li , Yipengjing Sun , Zerong Zheng , Lizhen Wang , Shengping Zhang , Yebin Liu

Continual learning refers to the ability of humans and animals to incrementally learn over time in a given environment. Trying to simulate this learning process in machines is a challenging task, also due to the inherent difficulty in…

Computer Vision and Pattern Recognition · Computer Science 2021-09-17 Enrico Meloni , Alessandro Betti , Lapo Faggi , Simone Marullo , Matteo Tiezzi , Stefano Melacci

In this work, we present an automated workflow to bring human figures, one of the most frequently appearing entities on pictorial maps, to the third dimension. Our workflow is based on training data and neural networks for single-view 3D…

Computer Vision and Pattern Recognition · Computer Science 2023-06-28 Raimund Schnürer , A. Cengiz Öztireli , Magnus Heitzler , René Sieber , Lorenz Hurni

Video try-on replaces clothing in videos with target garments. Existing methods struggle to generate high-quality and temporally consistent results when handling complex clothing patterns and diverse body poses. We present 3DV-TON, a novel…

Computer Vision and Pattern Recognition · Computer Science 2025-04-25 Min Wei , Chaohui Yu , Jingkai Zhou , Fan Wang

We propose a new type of full-body human avatars, which combines parametric mesh-based body model with a neural texture. We show that with the help of neural textures, such avatars can successfully model clothing and hair, which usually…

Computer Vision and Pattern Recognition · Computer Science 2021-04-20 Artur Grigorev , Karim Iskakov , Anastasia Ianina , Renat Bashirov , Ilya Zakharkin , Alexander Vakhitov , Victor Lempitsky

The requirement for 3D content is growing as AR/VR application emerges. At the same time, 3D modelling is only available for skillful experts, because traditional methods like Computer-Aided Design (CAD) are often too labor-intensive and…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Ying Zang , Yidong Han , Chaotao Ding , Jianqi Zhang , Tianrun Chen

Creating detailed 3D human avatars with fitted garments traditionally requires specialized expertise and labor-intensive workflows. While recent advances in generative AI have enabled text-to-3D human and clothing synthesis, existing…

Computer Vision and Pattern Recognition · Computer Science 2026-04-01 Zhiyao Sun , Yu-Hui Wen , Ho-Jui Fang , Sheng Ye , Matthieu Lin , Tian Lv , Yong-Jin Liu

Authoring realistic haptic textures typically requires low-level parameter tuning and repeated trial-and-error, limiting speed, transparency, and creative reach. We present a language-driven authoring system that turns natural-language…

Human-Computer Interaction · Computer Science 2026-04-09 Wanli Qian , Aiden Chang , Shihan Lu , Michael Gu , Heather Culbertson

We propose an end-to-end real time framework to generate high resolution graphics grade textured 3D map of urban environment. The generated detailed map finds its application in the precise localization and navigation of autonomous…

Computer Vision and Pattern Recognition · Computer Science 2021-01-19 Ashish Kumar , James R. McBride , Gaurav Pandey

Cartoons and animation domain videos have very different characteristics compared to real-life images and videos. In addition, this domain carries a large variability in styles. Current computer vision and deep-learning solutions often fail…

Computer Vision and Pattern Recognition · Computer Science 2022-01-20 Oron Nir , Gal Rapoport , Ariel Shamir

Generative AI has made significant progress in recent years, with text-guided content generation being the most practical as it facilitates interaction between human instructions and AI-generated content (AIGC). Thanks to advancements in…

Computer Vision and Pattern Recognition · Computer Science 2024-10-28 Chenghao Li , Chaoning Zhang , Joseph Cho , Atish Waghwase , Lik-Hang Lee , Francois Rameau , Yang Yang , Sung-Ho Bae , Choong Seon Hong

Given a set of calibrated images of a scene, we present an approach that produces a simple, compact, and actionable 3D world representation by means of 3D primitives. While many approaches focus on recovering high-fidelity 3D scenes, we…

Computer Vision and Pattern Recognition · Computer Science 2023-12-27 Tom Monnier , Jake Austin , Angjoo Kanazawa , Alexei A. Efros , Mathieu Aubry

A sketch is one of the most intuitive and versatile tools humans use to convey their ideas visually. An animated sketch opens another dimension to the expression of ideas and is widely used by designers for a variety of purposes. Animating…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Rinon Gal , Yael Vinker , Yuval Alaluf , Amit H. Bermano , Daniel Cohen-Or , Ariel Shamir , Gal Chechik

We present En3D, an enhanced generative scheme for sculpting high-quality 3D human avatars. Unlike previous works that rely on scarce 3D datasets or limited 2D collections with imbalanced viewing angles and imprecise pose priors, our…

Computer Vision and Pattern Recognition · Computer Science 2024-01-03 Yifang Men , Biwen Lei , Yuan Yao , Miaomiao Cui , Zhouhui Lian , Xuansong Xie

Reconstructing 3D clothed humans from monocular images and videos is a fundamental problem with applications in virtual try-on, avatar creation, and mixed reality. Despite significant progress in human body recovery, accurately…

Computer Vision and Pattern Recognition · Computer Science 2026-03-02 Yingxuan You , Ren Li , Corentin Dumery , Cong Cao , Hao Li , Pascal Fua

Generating high-quality 3D objects from textual descriptions remains a challenging problem due to computational cost, the scarcity of 3D data, and complex 3D representations. We introduce Geometry Image Diffusion (GIMDiffusion), a novel…

Computer Vision and Pattern Recognition · Computer Science 2024-09-06 Slava Elizarov , Ciara Rowles , Simon Donné

Customizing pre-trained text-to-image generation model has attracted massive research interest recently, due to its huge potential in real-world applications. Although existing methods are able to generate creative content for a novel…

Computer Vision and Pattern Recognition · Computer Science 2024-05-10 Yufan Zhou , Ruiyi Zhang , Jiuxiang Gu , Tong Sun

Recent 3D generative models have achieved remarkable performance in synthesizing high resolution photorealistic images with view consistency and detailed 3D shapes, but training them for diverse domains is challenging since it requires…

Computer Vision and Pattern Recognition · Computer Science 2023-04-03 Gwanghyun Kim , Se Young Chun

Our animation studio has developed a practical style transfer pipeline for creating stylized 3D animation, which is suitable for complex real-world production. This paper presents the insights from our development process, where we explored…

Graphics · Computer Science 2024-11-01 Hideki Todo , Yuki Koyama , Kunihiro Sakai , Akihiro Komiya , Jun Kato

As a common form of communication in social media,stickers win users' love in the internet scenarios, for their ability to convey emotions in a vivid, cute, and interesting way. People prefer to get an appropriate sticker through retrieval…

Human-Computer Interaction · Computer Science 2025-03-27 Zhiqiang Yuan , Jiapei Zhang , Ying Deng , Yeshuang Zhu , Jie Zhou , Jinchao Zhang
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