Accuracy and Fidelity Comparison of Luna and DALL-E 2 Diffusion-Based Image Generation Systems

TL;DR

This paper qualitatively compares the accuracy and fidelity of DALL-E 2 and Luna diffusion-based image generators, finding DALL-E 2 outperforms Luna in alignment and fidelity despite differences in datasets and methods.

Contribution

It provides a qualitative benchmark comparison between DALL-E 2 and Luna, highlighting the superior performance of DALL-E 2 in key quality metrics.

Findings

DALL-E 2 significantly outperforms Luna in alignment.

DALL-E 2 has higher fidelity in generated images.

The study uses a qualitative benchmark for comparison.

Abstract

We qualitatively examine the accuracy and fidelity between two diffusion-based image generation systems, namely DALL-E 2 and Luna, which have massive differences in training datasets, algorithmic approaches, prompt resolvement, and output upscaling. The methodology used is a qualitative benchmark created by Saharia et al. and in our research we conclude that DALL-E 2 significantly edges Luna in both alignment and fidelity comparisons.