joi, 26 februarie 2026
News : Krita 5.2.16 bugfix release!
Today we're releasing Krita 5.2.16. The previous version of 5.2 had issues with saving heif, heic and avif files, and while we are busy preparing 5.3, we decided this was worth it to make another release over.
If you're using the portable zip files, just open the zip file in Explorer and drag the folder somewhere convenient, then double-click on the Krita icon in the folder. This will not impact an installed version of Krita, though it will share your settings and custom resources with your regular installed version of Krita. For reporting crashes, also get the debug symbols folder.
See the official website.
Tools : A series of advanced mathematical and computational algorithms ...
Below is the list of algorithms and mathematical concepts involved, from fundamental vector geometry to state-of-the-art neural networks in software development with vector mathematics:
- Bezier Polynomials (Quadratic and Cubic): The mathematical foundation for generating smooth SVG paths using control points.
- Casteljau Algorithm: A recursive method used for curve subdivision and robust geometric construction.
- Affine Transformations: 3x3 matrix operations enabling translation, rotation, scaling, and skewing of objects.
- Curve Tessellation: Adaptive subdivision algorithms converting smooth parametric curves into discrete pixel segments.
- Spiro Splines: Used in Inkscape to create curves that minimize curvature variation through clothoid segments.
- Boolean Operations (Union, Intersection, Difference, XOR): Based on computational geometry for combining complex shapes.
- Bentley–Ottmann Algorithm: Used to detect line‑segment intersections during boolean path operations.
- Winding Number Calculation: Determines whether a point lies inside or outside a path.
- Arc‑Length Parameterization: Essential for placing text on a path and for uniform motion animations.
- Potrace Algorithm: Converts bitmap images into vector paths through decomposition, polygon optimization, and least‑squares curve fitting.
- Sobel Operator: Edge‑detection algorithm computing gradient magnitude and direction in raster images.
- Ramer–Douglas–Peucker Algorithm: Simplifies paths by reducing intermediate points while preserving shape fidelity.
- Schneider Algorithm: Optimizes Bézier curve fitting using Newton–Raphson iteration.
- DeepSVG (Hierarchical Generative Networks): Enables vector graphics reconstruction and animation through latent‑space operations.
- SVGformer (Transformer Architectures): Captures complex patterns and dependencies in large SVG datasets.
- GANs (Generative Adversarial Networks): Produce professional vector outputs through adversarial training.
- CVAEs (Convolutional Variational Autoencoders): Learn to encode and decode graphic data such as fonts or icons into latent spaces.
- L‑Systems (Lindenmayer Systems): Use formal grammar rules and recursion to generate organic shapes.
- Perlin Noise: Produces mathematically controlled random variations for organic patterns.
- Verlet Integration: Used in force‑based simulations (Coulomb attraction, Hooke elasticity) for data visualization.
- Convolution Mathematics: Implements SVG filters (such as Gaussian Blur) using discrete convolution matrices.
Tools : Hitem3d
With Hitem3d, turning a 2D image into a 3D model is simpler than ever. Just upload your image, generate the model with one click, and export it for further editing across multiple applications.
See the official website.
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