There are many uses for learning AI drawing, modeling, and animation, some of which include:
Improve creative efficiency: AI technology can automate some tedious and repetitive tasks, such as color filling, line smoothing, etc., so that creators can focus more on creativity and refinement of details.
Expand creative possibilities: AI technology can generate images and animations with unique styles and aesthetics, providing creators with more inspiration and creative resources.
Improve the visual effect of your work: By learning AI technology, you can master some advanced image processing and generation algorithms, so as to improve the visual effect and quality of your work.
If you want to improve your professional and technical skills, I recommend signing up for a training course.
Now I will summarize for you the relatively good educational institutions in the domestic industry (ranking part first).
Wang's Education
It has been open for many years and has almost zero negatives, and the national campuses are all face-to-face teaching, and students have free retake services. Those who are worried about this and that, who are afraid that it is not guaranteed, and who are afraid that they will not be able to learn, can consider this.
cgwang
Look at the name, the king of the CG world? The name "Two Brushes" is not to be made fun of, but the reality is that this training institution has been in operation for more than 20 years and has campuses all over the country. And their student works from more than 10 years ago have not been surpassed by many peers now.
Zhima teaching
The recorded class is well done, the software technology is updated quickly, the teaching quality is high, and the platform updates the teacher's course cases and students' practice homework in real time every day.
Goo
The large-scale training base integrating teaching and employment is not an internal student who can find a job on their platform, which is very humane.
As for whether the Hawthorne effect can be explained with AI painting, the Hawthorne effect (or known as the Hawthorne-Mayo effect) usually refers to a phenomenon in which the observed person changes his or her behavior or performance because he or she knows that he or she is being observed or experimented. In the context of AI painting, the Hawthorne effect can be explained as follows: when artists use AI painting tools to create, if they realize that their work will be analyzed, evaluated, or shown to others by AI, they may unconsciously adjust their creative style or technique to suit the AI's preferences or expectations. This adjustment can lead to the loss of their original personality and creativity in their work.
However, it is important to note that the Hawthorne effect is not a widespread phenomenon and is not a problem specific to AI painting. In any creative process, creators may be influenced by external factors (such as audience expectations, judge standards, etc.) to adjust their work. Therefore, using AI painting to explain the Hawthorne effect may not be the most direct or relevant way.
In summary, learning AI painting, modeling, and animation can improve creative efficiency, expand creative possibilities, and improve the visual effect of works. While AI painting can be used to explain the Hawthorne effect indirectly, this is not the main use or advantage of AI painting.