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Related papers: Structure-Aware 3D VR Sketch to 3D Shape Retrieval

200 papers

We address the problems of measuring geometric similarity between 3D scenes, represented through point clouds or range data frames, and associating them. Our approach leverages macro-scale 3D structural geometry - the relative configuration…

Computer Vision and Pattern Recognition · Computer Science 2018-08-07 Rahul Sawhney , Fuxin Li , Henrik I. Christensen , Charles L. Isbell

Drawing tools for Virtual Reality (VR) enable users to model 3D designs from within the virtual environment itself. These tools employ sketching and sculpting techniques known from desktop-based interfaces and apply them to hand-based…

Human-Computer Interaction · Computer Science 2019-11-06 Daniele Giunchi , Stuart james , Donald Degraen , Anthony Steed

In this paper, we delve into the intricate dynamics of Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) by addressing a critical yet overlooked aspect -- the choice of viewpoint during sketch creation. Unlike photo systems that…

Computer Vision and Pattern Recognition · Computer Science 2024-07-03 Aneeshan Sain , Pinaki Nath Chowdhury , Subhadeep Koley , Ayan Kumar Bhunia , Yi-Zhe Song

Spatial-query-by-sketch is an intuitive tool to explore human spatial knowledge about geographic environments and to support communication with scene database queries. However, traditional sketch-based spatial search methods perform…

Computer Vision and Pattern Recognition · Computer Science 2022-02-11 Danhuai Guo , Shiyin Ge , Shu Zhang , Song Gao , Ran Tao , Yangang Wang

The retrieval of 3D objects has gained significant importance in recent years due to its broad range of applications in computer vision, computer graphics, virtual reality, and augmented reality. However, the retrieval of 3D objects…

3D vector graphics play a crucial role in various applications including 3D shape retrieval, conceptual design, and virtual reality interactions due to their ability to capture essential structural information with minimal representation.…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Chuang Wang , Haitao Zhou , Ling Luo , Qian Yu

Significant progress has recently been made in creative applications of large pre-trained models for downstream tasks in 3D vision, such as text-to-shape generation. This motivates our investigation of how these pre-trained models can be…

Computer Vision and Pattern Recognition · Computer Science 2023-07-11 Aditya Sanghi , Pradeep Kumar Jayaraman , Arianna Rampini , Joseph Lambourne , Hooman Shayani , Evan Atherton , Saeid Asgari Taghanaki

Benchmarking of 3D Shape retrieval allows developers and researchers to compare the strengths of different algorithms on a standard dataset. Here we describe the procedures involved in developing a benchmark and issues involved. We then…

Computer Vision and Pattern Recognition · Computer Science 2011-05-19 Afzal Godil , Zhouhui Lian , Helin Dutagaci , Rui Fang , Vanamali T. P. , Chun Pan Cheung

With the widespread use of touch-screen devices, it is more and more convenient for people to draw sketches on screen. This results in the demand for automatically understanding the sketches. Thus, the sketch recognition task becomes more…

Computer Vision and Pattern Recognition · Computer Science 2021-09-29 Lei Wang , Shihui Zhang , Huan He , Xiaoxiao Zhang , Yu Sang

3D object reconstruction from a single image is a highly under-determined problem, requiring strong prior knowledge of plausible 3D shapes. This introduces challenges for learning-based approaches, as 3D object annotations are scarce in…

Computer Vision and Pattern Recognition · Computer Science 2017-11-10 Jiajun Wu , Yifan Wang , Tianfan Xue , Xingyuan Sun , William T Freeman , Joshua B Tenenbaum

A laser scanner can easily acquire the geometric data of physical environments in the form of a point cloud. Recognizing objects from a point cloud is often required for industrial 3D reconstruction, which should include not only geometry…

Computer Vision and Pattern Recognition · Computer Science 2020-07-01 Hyungki Kim , Moohyun Cha , Duhwan Mun

Existing deep learning-based approaches for monocular 3D object detection in autonomous driving often model the object as a rotated 3D cuboid while the object's geometric shape has been ignored. In this work, we propose an approach for…

Computer Vision and Pattern Recognition · Computer Science 2021-08-26 Zongdai Liu , Dingfu Zhou , Feixiang Lu , Jin Fang , Liangjun Zhang

Sketch-Based Image Retrieval (SBIR) is a crucial task in multimedia retrieval, where the goal is to retrieve a set of images that match a given sketch query. Researchers have already proposed several well-performing solutions for this task,…

Computer Vision and Pattern Recognition · Computer Science 2023-05-31 Omar Seddati , Nathan Hubens , Stéphane Dupont , Thierry Dutoit

Approximate convex decomposition aims to decompose a 3D shape into a set of almost convex components, whose convex hulls can then be used to represent the input shape. It thus enables efficient geometry processing algorithms specifically…

Graphics · Computer Science 2022-05-09 Xinyue Wei , Minghua Liu , Zhan Ling , Hao Su

Search and retrieval remains a major research topic in several domains, including computer graphics, computer vision, engineering design, etc. A search engine requires primarily an input search query and a database of items to search from.…

Computer Vision and Pattern Recognition · Computer Science 2022-07-05 Bharadwaj Manda , Prasad Kendre , Subhrajit Dey , Ramanathan Muthuganapathy

We propose a novel technique for producing high-quality 3D models that match a given target object image or scan. Our method is based on retrieving an existing shape from a database of 3D models and then deforming its parts to match the…

Computer Vision and Pattern Recognition · Computer Science 2021-04-14 Mikaela Angelina Uy , Vladimir G. Kim , Minhyuk Sung , Noam Aigerman , Siddhartha Chaudhuri , Leonidas Guibas

Image-based 3D shape retrieval (IBSR) aims to find the corresponding 3D shape of a given 2D image from a large 3D shape database. The common routine is to map 2D images and 3D shapes into an embedding space and define (or learn) a shape…

Computer Vision and Pattern Recognition · Computer Science 2020-10-28 Huan Fu , Shunming Li , Rongfei Jia , Mingming Gong , Binqiang Zhao , Dacheng Tao

3D modeling based on point clouds is an efficient way to reconstruct and create detailed 3D content. However, the geometric procedure may lose accuracy due to high redundancy and the absence of an explicit structure. In this work, we…

Graphics · Computer Science 2022-01-28 Xusheng Du , Yi He , Xi Yang , Chia-Ming Chang , Haoran Xie

We propose VRSketch2Gaussian, a first VR sketch-guided, multi-modal, native 3D object generation framework that incorporates a 3D Gaussian Splatting representation. As part of our work, we introduce VRSS, the first large-scale paired…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Songen Gu , Haoxuan Song , Binjie Liu , Qian Yu , Sanyi Zhang , Haiyong Jiang , Jin Huang , Feng Tian

We investigate the problem of generating 3D meshes from single free-hand sketches, aiming at fast 3D modeling for novice users. It can be regarded as a single-view reconstruction problem, but with unique challenges, brought by the variation…

Computer Vision and Pattern Recognition · Computer Science 2021-05-17 Song-Hai Zhang , Yuan-Chen Guo , Qing-Wen Gu