Results 1 to 10 of about 4,220,681 (327)
RealFusion 360° Reconstruction of Any Object from a Single Image [PDF]
Computer Vision and Pattern Recognition, 2023 We consider the problem of reconstructing a full 360° photographic model of an object from a single image of it. We do so by fitting a neural radiance field to the image, but find this problem to be severely ill-posed.
Luke Melas-Kyriazi +3 more
semanticscholar +1 more source
MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo [PDF]
IEEE International Conference on Computer Vision, 2021 We present MVSNeRF, a novel neural rendering approach that can efficiently reconstruct neural radiance fields for view synthesis. Unlike prior works on neural radiance fields that consider per-scene optimization on densely captured images, we propose a ...
Anpei Chen +6 more
semanticscholar +1 more source
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction [PDF]
Neural Information Processing Systems, 2022 In recent years, neural implicit surface reconstruction methods have become popular for multi-view 3D reconstruction. In contrast to traditional multi-view stereo methods, these approaches tend to produce smoother and more complete reconstructions due to
Zehao Yu +4 more
semanticscholar +1 more source
Unravelling constraints of urban housing reconstruction
Progress in Disaster Science, 2021 The Nepal's National Reconstruction Authority (NRA), which was established for reconstruction and recovery of damaged infrastructure by 2015 Gorkha Earthquake, achieved only 43% progress in the Kathmandu Valley in comparison to 75% in the Rural ...
Chandra Bahadur Shrestha +2 more
doaj +1 more source
Arthroplasty, 2022 Introduction Custom acetabular components have become an established method of treating massive acetabular bone defects in hip arthroplasty. Complication rates, however, remain high and migration of the cup is still reported.
Suroosh Madanipour +8 more
doaj +1 more source
Occupancy Networks: Learning 3D Reconstruction in Function Space [PDF]
Computer Vision and Pattern Recognition, 2018 With the advent of deep neural networks, learning-based approaches for 3D reconstruction have gained popularity. However, unlike for images, in 3D there is no canonical representation which is both computationally and memory efficient yet allows for ...
L. Mescheder +4 more
semanticscholar +1 more source
Occupational Therapy International, 2022 Background. Spasticity is generally caused by damage to the spinal cord or the areas of the brain that controls movements, which poses significant limitations in occupational tasks. Objectives.
Therese Ramström +3 more
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Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information [PDF]
IEEE Transactions on Information Theory, 2004 This paper considers the model problem of reconstructing an object from incomplete frequency samples. Consider a discrete-time signal f/spl isin/C/sup N/ and a randomly chosen set of frequencies /spl Omega/.
E. Candès, J. Romberg, T. Tao
semanticscholar +1 more source
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction [PDF]
IEEE International Conference on Computer Vision, 2021 Neural implicit 3D representations have emerged as a powerful paradigm for reconstructing surfaces from multi-view images and synthesizing novel views.
Michael Oechsle +2 more
semanticscholar +1 more source
Stem Cells International, 2022 Background. Angiogenic tissue engineering is a vital problem waiting to be settled for periodontal regeneration. Erythropoietin, a multieffect cytokine, has been reported as a protective factor for cell fate.
Denghao Huang +5 more
doaj +1 more source