From what I understand, the red dot represents the pixel in screen space and white dot represents the texels in texture space. In this minified example, you can see that each red pixel is close to a lot of texels in texture space which leads to a high frequency sample. This high frequency leads to aliasing.
agao25
I agree with @litony396's explanation that the proximity of red pixel to texels results in high frequency samples. I think another way I understand this is that because there are significantly less red dots than white dots, the data from the white dots gets crammed into red dots and so we have aliasing because the only way so much data can be represented is by displaying it very quickly, and thus we have the issue of aliasing.
Alescontrela
I like how @zeyuyun1 explains it. When the image is smaller, each pixel must be interpolated via many texels in the texture. This can lead to aliasing
From what I understand, the red dot represents the pixel in screen space and white dot represents the texels in texture space. In this minified example, you can see that each red pixel is close to a lot of texels in texture space which leads to a high frequency sample. This high frequency leads to aliasing.
I agree with @litony396's explanation that the proximity of red pixel to texels results in high frequency samples. I think another way I understand this is that because there are significantly less red dots than white dots, the data from the white dots gets crammed into red dots and so we have aliasing because the only way so much data can be represented is by displaying it very quickly, and thus we have the issue of aliasing.
I like how @zeyuyun1 explains it. When the image is smaller, each pixel must be interpolated via many texels in the texture. This can lead to aliasing