I wasn’t aware of explainpaper, actually works pretty well! I tried it on a technical paper (non-AI), and it worked decently.
I feel like technology like this could be super-useful to navigate law codes too.
Input: Poisson Editing Even with the above support regions Lempitsky and Iva- nov’s global adjustment does not eliminate all visible seams, see an example in Figure 11 (bottom row, center). Thus, subsequent to global adjustment we additionally perform local Poisson image editing [16]. Gal et al . [9] do this as well, but in a way that makes the computation prohibitively expensive: They Poisson edit complete texture patches, which results in huge linear systems (with > 107 variables for the largest patches in our datasets).
Output: The text is discussing a method of reducing seams in an image. The method is called Poisson Editing. Gal et al. [9] use a method that is very computationally expensive.. In a nutshell, kind of right. 