**DALL·E 2** is a generative text-to-image model made up of two main components: a prior that generates a CLIP image embedding given a text caption, and a decoder that generates an image conditioned on the image embedding.

An **Elastic ResNeXt Block** is a modification of the [ResNeXt Block](https://paperswithcode.com/method/resnext-block) that adds downsamplings and upsamplings in parallel branches at each layer. It is called "elastic" because each layer in the network is flexible in terms of choosing the best scale by a soft policy.

Elastic ResNeXt Block

ELASTIC: Improving CNNs with Dynamic Scaling Policies

DALL·E 2

Hierarchical Text-Conditional Image Generation with CLIP Latents

**A2C**, or **Advantage Actor Critic**, is a synchronous version of the [A3C](https://paperswithcode.com/method/a3c) policy gradient method. As an alternative to the asynchronous implementation of A3C, A2C is a synchronous, deterministic implementation that waits for each actor to finish its segment of experience before updating, averaging over all of the actors. This more effectively uses GPUs due to larger batch sizes.

Image Credit: [OpenAI Baselines](https://openai.com/blog/baselines-acktr-a2c/)

Source	Hierarchical Text-Conditional Image Generation with CLIP Latents
Year	2000
Data Source	CC BY-SA - https://paperswithcode.com