how do we handle the trade-off between the computational complexity of searching for the best match in large textures and the quality of the synthesized texture?
sparky-ed
I think this algorithms is a complex approach to texture generation which is very intuitive in the spatail coherence that we often observe in textures. By understanding the nature of textures, this algorithm recycles current information in a source image to create a new one. what particular interesting here is the simplicty of the concept pairied with its implementation
NothernSJTU
By creating a pyramid of images at different resolutions, you can perform initial searches at lower resolutions to find approximate matches and then refine these matches at higher resolutions. This method can reduce the number of comparisons needed in high-resolution images and helps in managing the trade-off between speed and synthesis quality.
how do we handle the trade-off between the computational complexity of searching for the best match in large textures and the quality of the synthesized texture?
I think this algorithms is a complex approach to texture generation which is very intuitive in the spatail coherence that we often observe in textures. By understanding the nature of textures, this algorithm recycles current information in a source image to create a new one. what particular interesting here is the simplicty of the concept pairied with its implementation
By creating a pyramid of images at different resolutions, you can perform initial searches at lower resolutions to find approximate matches and then refine these matches at higher resolutions. This method can reduce the number of comparisons needed in high-resolution images and helps in managing the trade-off between speed and synthesis quality.