Results 11 to 20 of about 2,330,920 (308)
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation [PDF]
Score distillation sampling (SDS) has shown great promise in text-to-3D generation by distilling pretrained large-scale text-to-image diffusion models, but suffers from over-saturation, over-smoothing, and low-diversity problems. In this work, we propose
Zhengyi Wang +6 more
semanticscholar +1 more source
Research on Image Dehazing Based on Dark Channel Prior and Variational Regularization [PDF]
The existing foggy image processing methods can achieve good dehazing effect, but some details are often lost, and noise amplification is easy to occur in the noisy areas.In order to solve these problems, a new variational dehazing model, H-TVBH, is ...
ZHAO Hui, WEI Weibo, PAN Zhenkuan, JI Lianshun
doaj +1 more source
Conditional Variational Image Deraining [PDF]
Image deraining is an important yet challenging image processing task. Though deterministic image deraining methods are developed with encouraging performance, they are infeasible to learn flexible representations for probabilistic inference and diverse ...
Yingjun Du +4 more
semanticscholar +1 more source
A four directions variational method for solving image processing problems [PDF]
In this paper, based on a discrete total variation model, a modified discretization of total variation (TV) is introduced for image processing problems.
Alireza H., E.E. Esfahani
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A Study of Adaptive Fractional-Order Total Variational Medical Image Denoising
Following the traditional total variational denoising model in removing medical image noise with blurred image texture details, among other problems, an adaptive medical image fractional-order total variational denoising model with an improved sparrow ...
Yanzhu Zhang +3 more
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Colour image segmentation based on a convex K‐means approach
Image segmentation is a fundamental and challenging task in image processing and computer vision. The colour image segmentation is attracting more attention as the colour image provides more information than the grey image. A variational model based on a
Tingting Wu +4 more
doaj +1 more source
Extensible Gaussian Mixture Model for Image Prior Modeling [PDF]
To address the inextensible fixed number of components in image prior modeling based on Gaussian Mixture Model(GMM),this paper proposes an extensible GMM model based on Dirichlet Process(DP).Through the addition and merging mechanism of cluster ...
ZHANG Mohua, PENG Jianhua
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Weighted nonlocal total variation in image processing [PDF]
In this paper, a novel weighted nonlocal total variation (WNTV) method is proposed. Compared to the classical nonlocal total variation methods, our method modifies the energy functional to introduce a weight to balance between the labeled sets and unlabeled sets.
Li, Haohan +2 more
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Multiplicative Noise Removal via a Novel Variational Model
Multiplicative noise appears in various image processing applications, such as synthetic aperture radar, ultrasound imaging, single particle emission-computed tomography, and positron emission tomography.
Li-Li Huang, Liang Xiao, Zhi-Hui Wei
doaj +2 more sources
Image Processing for Laser Imaging Using Adaptive Homomorphic Filtering and Total Variation [PDF]
Laser active imaging technology has important practical value and broad application prospects in military fields such as target detection, radar reconnaissance, and precise guidance. However, factors such as uneven laser illuminance, atmospheric backscatter, and the imaging system itself will introduce noise, which will affect the quality of the laser ...
Youchen Fan +4 more
openaire +2 more sources

