ziqihuangg/Awesome-Evaluation-of-Visual-Generation
A curated list of research works on evaluating visual generation models, covering metrics, benchmarks, and evaluation systems for image and video generation.

This repository aggregates academic and practical works for evaluating generative models in the visual domain. It organizes evaluation methods across three main areas: quality metrics for generated images and videos, condition-consistency metrics for aligning outputs with user inputs, and comprehensive evaluation systems for different generation tasks. The collection includes benchmarks for text-to-image, neural style transfer, video generation, and other generative tasks.