What are some challenges of diffusion models?They can generate images that are not realistic.They can be computationally expensive to train.They can be difficult to control.All of the above

What is the goal of diffusion models?To encode images to a compressed size, then decode back to the original sizeTo generate images by treating an image as a sequence of vectorsTo pit two neural networks against each otherTo learn the latent structure of a dataset by modeling the way in which data points diffuse through the latent space

Do you have experience with GANs/Diffusion based models such as Stable Diffusion, Midjourney etc?*Your answer

State one example of diffusion that you have experienced in your daily life.

Diffusion is:the movement of a substance from a low concentration to a high concentration.the movement of a substance from a high concentration to a low concentration.the movement of a substance from high concentration to a high concentration.the movement of a substance from low concentration to a low concentration.

Diffusion is needed by all forms of life. For example, the Salmonella bacteria below (in pink) are able to sense their environment around them by the diffusion of chemicals across their cell membranes.Complete the sentence below.During diffusion, particles move randomly from where there is a high concentration to areas where there is a __________ concentration of the particle.