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Related papers: Textured Mesh Quality Assessment: Large-Scale Data…

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Objective visual quality assessment of 3D models is a fundamental issue in computer graphics. Quality assessment metrics may allow a wide range of processes to be guided and evaluated, such as level of detail creation, compression,…

Computer Vision and Pattern Recognition · Computer Science 2021-02-09 Jinjiang Guo , Vincent Vidal , Irene Cheng , Anup Basu , Atilla Baskurt , Guillaume Lavoue

Textured high-fidelity 3D models are crucial for games, AR/VR, and film, but human-aligned evaluation methods still fall behind despite recent advances in 3D reconstruction and generation. Existing metrics, such as Chamfer Distance, often…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Tianyu Luan , Xuelu Feng , Zixin Zhu , Phani Nuney , Sheng Liu , Xuan Gong , David Doermann , Chunming Qiao , Junsong Yuan

A dynamic 3D mesh is a key component in Virtual Reality applications. However, this type of content demands a significant processing resource for real-time rendering. To reduce processing requirements while preserving the user experience,…

Multimedia · Computer Science 2026-04-01 Duc V. Nguyen , Nguyen Thi Quynh Ly , Truong Thu Huong

Textured meshes significantly enhance the realism and detail of objects by mapping intricate texture details onto the geometric structure of 3D models. This advancement is valuable across various applications, including entertainment,…

Graphics · Computer Science 2024-12-12 Kaiwei Zhang , Dandan Zhu , Xiongkuo Min , Guangtao Zhai

In recent years, static meshes with texture maps have become one of the most prevalent digital representations of 3D shapes in various applications, such as animation, gaming, medical imaging, and cultural heritage applications. However,…

Computer Vision and Pattern Recognition · Computer Science 2023-09-28 Bingyang Cui , Qi Yang , Kaifa Yang , Yiling Xu , Xiaozhong Xu , Shan Liu

The influence of textures on machine learning models has been an ongoing investigation, specifically in texture bias/learning, interpretability, and robustness. However, due to the lack of large and diverse texture data available, the…

Computer Vision and Pattern Recognition · Computer Science 2025-05-13 Blaine Hoak , Patrick McDaniel

With the rapid development of 3D scanning and reconstruction technologies, dynamic digital human avatars based on 4D meshes have become increasingly popular. A high-precision dynamic digital human avatar can be applied to various fields…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Yunhao Li , Sijing Wu , Yucheng Zhu , Huiyu Duan , Zicheng Zhang , Guangtao Zhai

Numerous methods have been proposed for probabilistic generative modelling of 3D objects. However, none of these is able to produce textured objects, which renders them of limited use for practical tasks. In this work, we present the first…

Computer Vision and Pattern Recognition · Computer Science 2020-04-10 Paul Henderson , Vagia Tsiminaki , Christoph H. Lampert

Dynamic colored meshes (DCM) are widely used in various applications; however, these meshes may undergo different processes, such as compression or transmission, which can distort them and degrade their quality. To facilitate the…

Computer Vision and Pattern Recognition · Computer Science 2023-08-04 Qi Yang , Joel Jung , Timon Deschamps , Xiaozhong Xu , Shan Liu

3D meshes are one of the main components of Virtual Reality applications. However, many network and computational resources are required to process 3D meshes in real-time. A potential solution to this challenge is to dynamically adapt the…

Multimedia · Computer Science 2024-06-12 Duc Nguyen , Tran Thuy Hien , Truong Thu Huong

Static meshes with texture map are widely used in modern industrial and manufacturing sectors, attracting considerable attention in the mesh compression community due to its huge amount of data. To facilitate the study of static mesh…

Computer Vision and Pattern Recognition · Computer Science 2023-10-31 Qi Yang , Joel Jung , Haiqiang Wang , Xiaozhong Xu , Shan Liu

This paper presents a method to reconstruct high-quality textured 3D models from both multi-view and single-view images. The reconstruction is posed as an adaptation problem and is done progressively where in the first stage, we focus on…

Computer Vision and Pattern Recognition · Computer Science 2022-03-18 Aysegul Dundar , Jun Gao , Andrew Tao , Bryan Catanzaro

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

Virtual Reality (VR) and its applications have attracted significant and increasing attention. However, the requirements of much larger file sizes, different storage formats, and immersive viewing conditions pose significant challenges to…

Image and Video Processing · Electrical Eng. & Systems 2022-04-06 Meixu Chen , Yize Jin , Todd Goodall , Xiangxu Yu , Alan C. Bovik

Consumer 3D scanners and depth cameras are increasingly being used to generate content and avatars for Virtual Reality (VR) environments and avoid the inconveniences of hand modeling; however, it is sometimes difficult to evaluate…

Human-Computer Interaction · Computer Science 2017-02-01 Jacob Thorn , Rodrigo Pizarro , Bernhard Spanlang , Pablo Bermell-Garcia , Mar Gonzalez-Franco

As several industries are moving towards modeling massive 3D virtual worlds, the need for content creation tools that can scale in terms of the quantity, quality, and diversity of 3D content is becoming evident. In our work, we aim to train…

Computer Vision and Pattern Recognition · Computer Science 2022-09-23 Jun Gao , Tianchang Shen , Zian Wang , Wenzheng Chen , Kangxue Yin , Daiqing Li , Or Litany , Zan Gojcic , Sanja Fidler

Textured 3D meshes jointly represent geometry, topology, and appearance, yet their irregular structure poses significant challenges for deep-learning-based semantic segmentation. While a few recent methods operate directly on meshes without…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Mohammadreza Heidarianbaei , Max Mehltretter , Franz Rottensteiner

While high-quality texture maps are essential for realistic 3D asset rendering, few studies have explored learning directly in the texture space, especially on large-scale datasets. In this work, we depart from the conventional approach of…

Computer Vision and Pattern Recognition · Computer Science 2024-11-25 Xin Yu , Ze Yuan , Yuan-Chen Guo , Ying-Tian Liu , JianHui Liu , Yangguang Li , Yan-Pei Cao , Ding Liang , Xiaojuan Qi

Text-to-3D generation has achieved remarkable progress in recent years, yet evaluating these methods remains challenging for two reasons: i) Existing benchmarks lack fine-grained evaluation on different prompt categories and evaluation…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Yujie Zhang , Bingyang Cui , Qi Yang , Zhu Li , Yiling Xu

With the rapid advancement of 3D visualization, 3D Gaussian Splatting (3DGS) has emerged as a leading technique for real-time, high-fidelity rendering. While prior research has emphasized algorithmic performance and visual fidelity, the…

Computer Vision and Pattern Recognition · Computer Science 2025-11-12 Zhaolin Wan , Yining Diao , Jingqi Xu , Hao Wang , Zhiyang Li , Xiaopeng Fan , Wangmeng Zuo , Debin Zhao
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