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.
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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.
Frequently asked
- What is 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.
- Is Awesome-Evaluation-of-Visual-Generation open source?
- Yes — ziqihuangg/Awesome-Evaluation-of-Visual-Generation is an open-source project tracked on heatdrop.
- How popular is Awesome-Evaluation-of-Visual-Generation?
- ziqihuangg/Awesome-Evaluation-of-Visual-Generation has 453 stars on GitHub.
- Where can I find Awesome-Evaluation-of-Visual-Generation?
- ziqihuangg/Awesome-Evaluation-of-Visual-Generation is on GitHub at https://github.com/ziqihuangg/Awesome-Evaluation-of-Visual-Generation.