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Related papers: 3D-FUTURE: 3D Furniture shape with TextURE

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We introduce 3D-FRONT (3D Furnished Rooms with layOuts and semaNTics), a new, large-scale, and comprehensive repository of synthetic indoor scenes highlighted by professionally designed layouts and a large number of rooms populated by…

Computer Vision and Pattern Recognition · Computer Science 2021-05-17 Huan Fu , Bowen Cai , Lin Gao , Lingxiao Zhang , Jiaming Wang Cao Li , Zengqi Xun , Chengyue Sun , Rongfei Jia , Binqiang Zhao , Hao Zhang

Indoor scene generation has attracted significant attention recently as it is crucial for applications of gaming, virtual reality, and interior design. Current indoor scene generation methods can produce reasonable room layouts but often…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Genghao Zhang , Yuxi Wang , Chuanchen Luo , Shibiao Xu , Zhaoxiang Zhang , Man Zhang , Junran Peng

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

Over the past decade, 3D graphics have become highly detailed to mimic the real world, exploding their size and complexity. Certain applications and device constraints necessitate their simplification and/or lossy compression, which can…

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

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

Material understanding is critical for design, geometric modeling, and analysis of functional objects. We enable material-aware 3D shape analysis by employing a projective convolutional neural network architecture to learn material- aware…

Computer Vision and Pattern Recognition · Computer Science 2018-10-23 Hubert Lin , Melinos Averkiou , Evangelos Kalogerakis , Balazs Kovacs , Siddhant Ranade , Vladimir G. Kim , Siddhartha Chaudhuri , Kavita Bala

In recent years, substantial progress has been achieved in learning-based reconstruction of 3D objects. At the same time, generative models were proposed that can generate highly realistic images. However, despite this success in these…

Computer Vision and Pattern Recognition · Computer Science 2019-05-20 Michael Oechsle , Lars Mescheder , Michael Niemeyer , Thilo Strauss , Andreas Geiger

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

We propose 3DBooSTeR, a novel method to recover a textured 3D body mesh from a textured partial 3D scan. With the advent of virtual and augmented reality, there is a demand for creating realistic and high-fidelity digital 3D human…

Computer Vision and Pattern Recognition · Computer Science 2020-10-27 Alexandre Saint , Anis Kacem , Kseniya Cherenkova , Djamila Aouada

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

Texture cues on 3D objects are key to compelling visual representations, with the possibility to create high visual fidelity with inherent spatial consistency across different views. Since the availability of textured 3D shapes remains very…

Computer Vision and Pattern Recognition · Computer Science 2022-04-07 Yawar Siddiqui , Justus Thies , Fangchang Ma , Qi Shan , Matthias Nießner , Angela Dai

Recent years have seen the development of mature solutions for reconstructing deformable surfaces from a single image, provided that they are relatively well-textured. By contrast, recovering the 3D shape of texture-less surfaces remains an…

Computer Vision and Pattern Recognition · Computer Science 2018-07-30 Jan Bednařík , Pascal Fua , Mathieu Salzmann

Recent advances in deep learning have significantly transformed the field of 3D shape generation, enabling the synthesis of complex, diverse, and semantically meaningful 3D objects. This survey provides a comprehensive overview of the…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Nicolas Caytuiro , Ivan Sipiran

The modern computer graphics pipeline can synthesize images at remarkable visual quality; however, it requires well-defined, high-quality 3D content as input. In this work, we explore the use of imperfect 3D content, for instance, obtained…

Computer Vision and Pattern Recognition · Computer Science 2019-04-30 Justus Thies , Michael Zollhöfer , Matthias Nießner

This paper presents a novel framework for compactly representing a 3D indoor scene using a set of polycuboids through a deep learning-based fitting method. Indoor scenes mainly consist of man-made objects, such as furniture, which often…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Gahye Lee , Hyejeong Yoon , Jungeon Kim , Seungyong Lee

Reconstructing 3D visuals from functional Magnetic Resonance Imaging (fMRI) data, introduced as Recon3DMind, is of significant interest to both cognitive neuroscience and computer vision. To advance this task, we present the fMRI-3D…

Computer Vision and Pattern Recognition · Computer Science 2025-08-15 Jianxiong Gao , Yanwei Fu , Yuqian Fu , Yun Wang , Xuelin Qian , Jianfeng Feng

Recent advances in 3D scene generation produce visually appealing output, but current representations hinder artists' workflows that require modifiable 3D textured mesh scenes for visual effects and game development. Despite significant…

Computer Vision and Pattern Recognition · Computer Science 2025-12-22 Tobias Sautter , Jan-Niklas Dihlmann , Hendrik P. A. Lensch

Understanding interior scenes has attracted enormous interest in computer vision community. However, few works focus on the understanding of furniture within the scenes and a large-scale dataset is also lacked to advance the field. In this…

Computer Vision and Pattern Recognition · Computer Science 2020-02-03 Bingyuan Liu , Jiantao Zhang , Xiaoting Zhang , Wei Zhang , Chuanhui Yu , Yuan Zhou

Parametric computer-aided design (CAD) is a standard paradigm used to design manufactured objects, where a 3D shape is represented as a program supported by the CAD software. Despite the pervasiveness of parametric CAD and a growing…

Machine Learning · Computer Science 2021-05-18 Karl D. D. Willis , Yewen Pu , Jieliang Luo , Hang Chu , Tao Du , Joseph G. Lambourne , Armando Solar-Lezama , Wojciech Matusik
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