t-to-image diffusion models. In-stanceDiffusion supports free-form language conditions perinstance and allows flexible ways to specify instance lo-cations such as simple single points, scribbles, boundingboxes or intricate instance segmentation masks, and com-binations thereof. We propo

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

Which process involves a model learning to remove noise from images?SamplingForward diffusionReverse diffusionGANs

What is the process of forward diffusion?Start with a noisy image and remove noise randomlyStart with a clean image and add noise iterativelyStart with a noisy image and remove noise iterativelyStart with a clean image and add noise randomly

Which process involves a model learning to remove noise from images?SamplingReverse diffusionForward diffusionGANs

What is the process of forward diffusion?Start with a noisy image and remove noise iterativelyStart with a clean image and add noise iterativelyStart with a clean image and add noise randomlyStart with a noisy image and remove noise randomly