Results 141 to 150 of about 1,596,426 (191)
Some of the next articles are maybe not open access.
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model
International Conference on Learning Representations, 2023Text-to-3D with diffusion models has achieved remarkable progress in recent years. However, existing methods either rely on score distillation-based optimization which suffer from slow inference, low diversity and Janus problems, or are feed-forward ...
Jiahao Li +9 more
semanticscholar +1 more source
Sparse angle CT reconstruction based on group sparse representation
Journal of X-Ray Science and Technology, 2022OBJECTIVE: In order to solve the problem of image quality degradation of CT reconstruction under sparse angle projection, we propose to develop and test a new sparse angle CT reconstruction method based on group sparse. METHODS: In this method, the group-based sparse representation is introduced into the statistical iterative reconstruction framework ...
Yanan, Gu +5 more
openaire +2 more sources
Finger Vein Recognition via Sparse Reconstruction Error Constrained Low-Rank Representation
IEEE Transactions on Information Forensics and Security, 2021Vein pattern-based methods have powerfully promoted the performance of finger vein recognition. However, it is not easy to precisely extract vein patterns from images, especially from low-quality images, and the non-vein area have been proved to be ...
Lu Yang +4 more
semanticscholar +1 more source
Online Sparse Reconstruction for Scanning Radar Using Beam-Updating q-SPICE
IEEE Geoscience and Remote Sensing Letters, 2022The generalized sparse iterative covariance-based estimation ( $q$ -SPICE) algorithm was recently introduced for scanning radar applications, resulting in substantial improvements in the angular resolution and quality of the processed images. Regrettably,
Yongchao Zhang +7 more
semanticscholar +1 more source
Singular vector sparse reconstruction for image compression
Computers & electrical engineering, 2021Generally, more than half of smaller singular values and corresponding singular vectors should be abandoned to achieve the image compression function for the compression method based on singular value decomposition (SVD).
Shuai Xu +6 more
semanticscholar +1 more source
2-D DOA Estimation for Nested Conformal Arrays via Sparse Reconstruction
IEEE Communications Letters, 2021In this letter, we devise a cylindrical conformal array with nested subarray structures and propose a two-dimensional (2-D) direction-of-arrival (DOA) algorithm via sparse reconstruction.
Mingcheng Fu, Zhi Zheng, Wen-qin Wang
semanticscholar +1 more source
An optical image encryption based on computational ghost imaging with sparse reconstruction
, 2021In the traditional optical cryptosystems based on computational ghost imaging, a large number of phase-only masks or speckle patterns are generated to reconstruct the object image with high visual quality.
L. Sui +7 more
semanticscholar +1 more source
Structured Nyquist Correlation Reconstruction for DOA Estimation With Sparse Arrays
IEEE Transactions on Signal Processing, 2023Sparse arrays are known to achieve an increased number of degrees-of-freedom (DOFs) for direction-of-arrival (DOA) estimation, where an augmented virtual uniform array calculated from the correlations of sub-Nyquist spatial samples is processed to ...
Chengwei Zhou +3 more
semanticscholar +1 more source
Deep Embedding-Attention-Refinement for Sparse-View CT Reconstruction
IEEE Transactions on Instrumentation and Measurement, 2023Tomographic image reconstruction with deep learning is an emerging field of applied artificial intelligence. Reducing radiation dose with sparse views’ reconstruction is a significant task in cardiac imaging.
Weiwen Wu +4 more
semanticscholar +1 more source
Nonlocal Elastica Model for Sparse Reconstruction
Journal of Mathematical Imaging and Vision, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mengyuan Yan, Yuping Duan
openaire +1 more source