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Related papers: Flash Sculptor: Modular 3D Worlds from Objects

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In this paper, we present a framework to represent mock 3D objects and scenes, which are not 3D but appear 3D. In our framework, each mock-3D object is represented using 2D non-conservative vector fields and thickness information that are…

Graphics · Computer Science 2024-01-02 Ergun Akleman , Youyou Wang , Ozgur Gonen

Predicting 3D human pose from a single monoscopic video can be highly challenging due to factors such as low resolution, motion blur and occlusion, in addition to the fundamental ambiguity in estimating 3D from 2D. Approaches that directly…

Computer Vision and Pattern Recognition · Computer Science 2021-04-26 Tao Jiang , Necati Cihan Camgoz , Richard Bowden

Acquiring 3D geometry of real world objects has various applications in 3D digitization, such as navigation and content generation in virtual environments. Image remains one of the most popular media for such visual tasks due to its…

Computer Vision and Pattern Recognition · Computer Science 2017-01-26 Shuai Du , Youyi Zheng

Gaussian splatting enables fast novel view synthesis in static 3D environments. However, reconstructing real-world environments remains challenging as distractors or occluders break the multi-view consistency assumption required for…

Computer Vision and Pattern Recognition · Computer Science 2025-03-27 Yihao Wang , Marcus Klasson , Matias Turkulainen , Shuzhe Wang , Juho Kannala , Arno Solin

With the popularity of monocular videos generated by video sharing and live broadcasting applications, reconstructing and editing dynamic scenes in stationary monocular cameras has become a special but anticipated technology. In contrast to…

Computer Vision and Pattern Recognition · Computer Science 2024-02-02 Weixing Xie , Xiao Dong , Yong Yang , Qiqin Lin , Jingze Chen , Junfeng Yao , Xiaohu Guo

FLASH is a publicly available high performance application code which has evolved into a modular, extensible software system from a collection of unconnected legacy codes. FLASH has been successful because its capabilities have been driven…

Software Engineering · Computer Science 2014-09-10 A. Dubey , L. B. Reid , K. Weide , K. Antypas , M. K. Ganapathy , K. Riley , D. Sheeler , A. Siegal

Reassembling multiple axially symmetric pots from fragmentary sherds is crucial for cultural heritage preservation, yet it poses significant challenges due to thin and sharp fracture surfaces that generate numerous false positive matches…

Image and Video Processing · Electrical Eng. & Systems 2025-02-21 Seong Jong Yoo , Sisung Liu , Muhammad Zeeshan Arshad , Jinhyeok Kim , Young Min Kim , Yiannis Aloimonos , Cornelia Fermuller , Kyungdon Joo , Jinwook Kim , Je Hyeong Hong

Finding good configurations for a software system is often challenging since the number of configuration options can be large. Software engineers often make poor choices about configuration or, even worse, they usually use a sub-optimal…

Software Engineering · Computer Science 2018-09-05 Vivek Nair , Zhe Yu , Tim Menzies , Norbert Siegmund , Sven Apel

We present ReFlow, a unified framework for monocular dynamic scene reconstruction that learns 3D motion in a novel self-correction manner from raw video. Existing methods often suffer from incomplete scene initialization for dynamic…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Yanzhe Liang , Ruijie Zhu , Hanzhi Chang , Zhuoyuan Li , Jiahao Lu , Tianzhu Zhang

Numerous techniques have been proposed for reconstructing 3D models for opaque objects in past decades. However, none of them can be directly applied to transparent objects. This paper presents a fully automatic approach for reconstructing…

Graphics · Computer Science 2018-05-15 Bojian Wu , Yang Zhou , Yiming Qian , Minglun Gong , Hui Huang

In this paper, we propose RoomPlanner, the first fully automatic 3D room generation framework for painlessly creating realistic indoor scenes with only short text as input. Without any manual layout design or panoramic image guidance, our…

Computer Vision and Pattern Recognition · Computer Science 2025-11-24 Wenzhuo Sun , Mingjian Liang , Wenxuan Song , Xuelian Cheng , Zongyuan Ge

Recent advancements in 3D reconstruction from single images have been driven by the evolution of generative models. Prominent among these are methods based on Score Distillation Sampling (SDS) and the adaptation of diffusion models in the…

Computer Vision and Pattern Recognition · Computer Science 2023-12-20 Zi-Xin Zou , Zhipeng Yu , Yuan-Chen Guo , Yangguang Li , Ding Liang , Yan-Pei Cao , Song-Hai Zhang

This paper presents a real-time segmentation and reconstruction system that utilizes RGB-D images to generate accurate and detailed individual 3D models of objects within a captured scene. Leveraging state-of-the-art instance segmentation…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Xi Sun , Derek Jacoby , Yvonne Coady

Our world is full of identical objects (\emphe.g., cans of coke, cars of same model). These duplicates, when seen together, provide additional and strong cues for us to effectively reason about 3D. Inspired by this observation, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2024-01-11 Tianhang Cheng , Wei-Chiu Ma , Kaiyu Guan , Antonio Torralba , Shenlong Wang

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

Reconstructing physically stable 3D scenes from a single RGB image enables casual images to be converted into simulation-ready digital assets for applications such as immersive interaction and content creation. However, existing…

Computer Vision and Pattern Recognition · Computer Science 2026-05-29 Xiaoxuan Ma , Jiashun Wang , Nicolas Ugrinovic , Yehonathan Litman , Kris Kitani

Current methods for dense 3D point tracking in dynamic scenes typically rely on pairwise processing, require known camera poses, or assume temporal ordering of input frames, thereby constraining their flexibility and applicability.…

Computer Vision and Pattern Recognition · Computer Science 2026-04-06 Vivek Alumootil , Tuan-Anh Vu

Recently, the integration of the efficient feed-forward scheme into 3D Gaussian Splatting (3DGS) has been actively explored. However, most existing methods focus on sparse view reconstruction of small regions and cannot produce eligible…

Computer Vision and Pattern Recognition · Computer Science 2025-04-01 Yunsong Wang , Tianxin Huang , Hanlin Chen , Gim Hee Lee

Generating high-quality 3D content from text, single images, or sparse view images remains a challenging task with broad applications. Existing methods typically employ multi-view diffusion models to synthesize multi-view images, followed…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Junlin Han , Jianyuan Wang , Andrea Vedaldi , Philip Torr , Filippos Kokkinos

In complex missions such as search and rescue,robots must make intelligent decisions in unknown environments, relying on their ability to perceive and understand their surroundings. High-quality and real-time reconstruction enhances…

Robotics · Computer Science 2024-10-10 Zijun Xu , Rui Jin , Ke Wu , Yi Zhao , Zhiwei Zhang , Jieru Zhao , Fei Gao , Zhongxue Gan , Wenchao Ding