I have a question that may be naive.
How can I build an AI model where the input is a vector and the output is a image? For example, in a room, I would like to predict the temperature field of a certain section of the room by controlling the exhaust air volume, outdoor temperature, and internal heat source power. in other words:
Input=[Exhaust air volume, outdoor temperature, internal heat source power]; and Output=a image.
I have a large dataset as described above.
However, I have reviewed relevant information and found that perhaps the diffusion model can achieve this goal, but I have not found the relevant code. Moreover, most application scenarios are used to input a sentence to generate an image, which does not look like what I would like to do.
I do no have too much experience about the deep learning model. Do you have any ideas to solve my problems?
Thank you so much in advance.
Best,
No any model I have tried.
