Results 21 to 30 of about 3,103,629 (371)
SparseFusion: Distilling View-Conditioned Diffusion for 3D Reconstruction [PDF]
Computer Vision and Pattern Recognition, 2022 We propose SparseFusion, a sparse view 3D reconstruction approach that unifies recent advances in neural rendering and probabilistic image generation. Existing approaches typically build on neural rendering with reprojected features but fail to generate ...
Zhizhuo Zhou, Shubham Tulsiani
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3D chest wall reconstruction [PDF]
Indian Journal of Thoracic and Cardiovascular Surgery, 2018 Computer modeling and 3D printing has found wide-scale applicability in pre- and intraoperative meticulous planning of surgery. Dr. Harsh Singh from Christchurch Hospital, New Zealand, discusses its current and future role in chest wall reconstruction.
Om Prakash Yadava, Harsh Pal Singh
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Joint Dense 3D Reconstruction Method for Endoscopic Images of Weak Texture Scenes
IEEE Access, 2021 Endoscopic inspection is an important non-destructive testing method. Traditional 3D endoscopic reconstruction methods, such as polarization reconstruction and shading reconstruction, have the drawbacks of not determining the object’s actual size ...
Yunting Gu +8 more
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PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction [PDF]
Computer Vision and Pattern Recognition, 2023 Reconstructing the 3D shape of an object from a single RGB image is a long-standing problem in computer vision. In this paper, we propose a novel method for single-image 3D reconstruction which generates a sparse point cloud via a conditional denoising ...
Luke Melas-Kyriazi +2 more
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SimpleRecon: 3D Reconstruction Without 3D Convolutions
, 2022 Traditionally, 3D indoor scene reconstruction from posed images happens in two phases: per-image depth estimation, followed by depth merging and surface reconstruction. Recently, a family of methods have emerged that perform reconstruction directly in final 3D volumetric feature space.
Sayed, M +5 more
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Multiview Compressive Coding for 3D Reconstruction [PDF]
Computer Vision and Pattern Recognition, 2023 A central goal of visual recognition is to understand objects and scenes from a single image. 2D recognition has witnessed tremendous progress thanks to large-scale learning and general-purpose representations.
Chaozheng Wu +4 more
semanticscholar +1 more source
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction [PDF]
International Symposium on Computer Architecture, 2023 Neural Radiance Field (NeRF) based 3D reconstruction is highly desirable for immersive Augmented and Virtual Reality (AR/VR) applications, but achieving instant (i.e., < 5 seconds) on-device NeRF training remains a challenge.
Sixu Li +8 more
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Structure-Aware Sparse-View X-Ray 3D Reconstruction [PDF]
Computer Vision and Pattern Recognition, 2023 X-ray, known for its ability to reveal internal structures of objects, is expected to provide richer information for 3D reconstruction than visible light.
Yuanhao Cai +4 more
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Micromachines, 2022 Doxycycline (DOX) and its metabolite residues in food and the environment pose a serious threat to human health and the ecological environment. In this work, a novel method, termed competitive fluoroimmunoassays (cFIA), based on monoclonal antibody (mAb)
Tao Le, Rongli Xu, Lulan Yang, Yong Xie
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Review of Research on 3D Reconstruction of Dynamic Scenes [PDF]
Jisuanji kexue yu tansuoAs static scene 3D reconstruction algorithms become more mature, dynamic scene 3D reconstruction has become a hot and challenging research topic in recent years.
SUN Shuifa, TANG Yongheng, WANG Ben, DONG Fangmin, LI Xiaolong, CAI Jiacheng, WU Yirong
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