TextDiffuser consists of two stages: first, a Transformer model generates the layout of keywords extracted from text prompts, and then diffusion models generate images conditioned on the text prompt and the generated layout.

It is crucial to quantify the uncertainty of these dynamics models when using them for planning.

Modularity is a critical design principle for both software systems and artificial intelligence (AI).

Figure 4: Impact of the proportion of injected noise for learning Paragraph Em-beddings on XSum dataset. (Figure 4). The results of the ablation study are presented in Table 5. Embedder in providing clean and denoised reconstructions. In general, it has been observed that generations progress in a coarse-to-fine manner. The early time step, which is close to 1, tends to be less fluent and generic. This was the nicest stay we have ever had. Turtle Bay was a great resort. This was the nicest stay we have ever had.

Specifically, SegRefiner takes coarse masks as inputs and refines them using a discrete diffusion process.

The code is publicly available at https://github.com/jinnh/GSAD.