ＡＩ絵生成の弱点
ＡＩ絵生成ソフトの一番の欠陥は基礎を完全無視していきなり絵事態を塗り始める事に有る。だからこそうあれ程不安定で処理ミスが多い。

https://note.com/poison_raika/n/n53b1889c1d42

<>

#weaknesses #image #generation #flaw #software #completely #ignores #basic #picture #unstable #process #draw #decide #composition #make #correction #necessary #line #start #foundation #properly #create #overall #exact #coordinate #positional #relationship #element #between

Weaknesses of AI image generation
The biggest flaw in AI image generation software is that it completely ignores the basics and just starts coloring the picture itself.

https://note.com/poison_raika/n/nbcf01aada7b5

<>

#weaknesses #image #generation #flaw #software #completely #ignores #basic #picture #unstable #process #draw #decide #composition #make #correction #necessary #line #start #foundation #properly #create #overall #exact #coordinate #positional #relationship #element #between

Слабкі сторони створення зображень ШІ
Найбільша вада програмного забезпечення для створення мистецтва штучного інтелекту полягає в тому,

https://note.com/poison_raika/n/ncb49e83bed93

<>

#weaknesses #image #generation #flaw #software #completely #ignores #basic #picture #unstable #process #draw #decide #composition #make #correction #necessary #line #start #foundation #properly #create #overall #exact #coordinate #positional #relationship #element #between

We previously found in 1D simulations (blue) that the #positional #error of #Dpp increases as the pouch of the #Drosophila #wingdisc expands over time.

Now, with a #tissue #width of 10 cells, the positional error is substantially reduced and remains below 1 cell diameter (red)

The #positional #error of a #morphogen #gradient significantly decreases as the patterned #tissue widens. It can drop from above one #cell diameter to below half a cell diameter, before saturating at a #tissue width beyond about 10 cells.