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creativemarket.com/RDGraphics/244615744-Grainova-Gradient-grain-texturesPrivate View Grainova - Elegant Gradient Grain Textures Elevate your design projects with Grainova, a premium collection of 120 meticulously crafted gradient grain textures. Perfect for adding depth and elegance to your work, these textures are versatile and easy to use.
Temporal Two — Gradients pixelbuddha.net/textures/temporal-two-gradientsPrivate View Temporal Two — Gradients. This collection portrays various dreamscapes where colors melt and merge like whispers of another world. Orange and lilac spots with an outer greenish glow. Some might call it a messy design, but we call it a cutting-edge gradient trend. Temporal Two offers 14 custom-tailored high-resolution raster hazescapes that ...
OpenCV: Image Gradients docs.opencv.org/4.x/d5/d0f/tutorial_py_gradients.htmlPrivate View OpenCV provides three types of gradient filters or High-pass filters, Sobel, Scharr and Laplacian. We will see each one of them. 1. Sobel and Scharr Derivatives. Sobel operators is a joint Gaussian smoothing plus differentiation operation, so it is more resistant to noise. You can specify the direction of derivatives to be taken, vertical or ...
[2405.17277] Gradients of Functions of Large Matrices - arXiv.org arxiv.org/abs/2405.17277Private View Gradients of Functions of Large Matrices. Nicholas Krämer, Pablo Moreno-Muñoz, Hrittik Roy, Søren Hauberg. Tuning scientific and probabilistic machine learning models -- for example, partial differential equations, Gaussian processes, or Bayesian neural networks -- often relies on evaluating functions of matrices whose size grows with the ...
OpenCV: Image Gradients docs.opencv.org/4.x/da/d85/tutorial_js_gradients.htmlPrivate View OpenCV provides three types of gradient filters or High-pass filters, Sobel, Scharr and Laplacian. We will see each one of them. 1. Sobel and Scharr Derivatives. Sobel operators is a joint Gaussian smoothing plus differentiation operation, so it is more resistant to noise. You can specify the direction of derivatives to be taken, vertical or ...
[2405.17029] Multi-view Disparity Estimation Using a Novel Gradient ... arxiv.org/abs/2405.17029Private View The Gradient Consistency Model penalises the data term for view pairs that have a mismatch between the spatial gradients in the source view and the spatial gradients in the target view. Instead of relying on a tuned or learned schedule, the Gradient Consistency Model is self-scheduling, since the weights evolve as the algorithm progresses. ...