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Texture synthesis is the process of algorithmically constructing a large digital image from a small digital sample image by taking advantage of its structural content. It is an object of research in computer graphics and is used in many fields, amongst others digital image editing , 3D computer graphics and post-production of films .
NST is an example of image stylization, a problem studied for over two decades within the field of non-photorealistic rendering. The first two example-based style transfer algorithms were image analogies [1] and image quilting. [2] Both of these methods were based on patch-based texture synthesis algorithms.
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Historically, rendering was called image synthesis [6]: xxi but today this term is likely to mean AI image generation. [7] The term "neural rendering" is sometimes used when a neural network is the primary means of generating an image but some degree of control over the output image is provided. [ 8 ]
A neural radiance field (NeRF) is a method based on deep learning for reconstructing a three-dimensional representation of a scene from two-dimensional images. The NeRF model enables downstream applications of novel view synthesis, scene geometry reconstruction, and obtaining the reflectance properties of the scene. Additional scene properties ...
In this way, by fixing a point, we can, for example, derive the probability distribution of the texture's red channel values over all the faces. A face shape S {\textstyle S} of n {\textstyle n} vertices is defined as the vector containing the 3D coordinates of the n {\displaystyle n} vertices in a specified order, that is S ∈ R 3 n ...
This idea is motivated by the fact that some binary patterns occur more commonly in texture images than others. A local binary pattern is called uniform if the binary pattern contains at most two 0-1 or 1-0 transitions. For example, 00010000 (2 transitions) is a uniform pattern, but 01010100 (6 transitions) is not.
Simplified example of training a neural network in object detection: The network is trained by multiple images that are known to depict starfish and sea urchins, which are correlated with "nodes" that represent visual features. The starfish match with a ringed texture and a star outline, whereas most sea urchins match with a striped texture and ...