awesome-efficient-aigc
github.com/efficient-ml/awesome-efficient-aigc ↗A curated list of papers and code on efficient diffusion models for image, video, world modeling, and language generation. Covering acceleration, quantization, compression, caching, and distillation.
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255
Curated Resources
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8 hours ago
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BenchmarksSurvey PapersPapers by YearImplementationsRelated RepositoriesContributing
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 2026 resources from awesome-efficient-aigc"
Installation instructions →What's inside
Contributing
Related Repositories
Survey Papers
Benchmarks
- GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment
Objects, counts, colors, positions, and compositional text-image alignment.
Showing a sample of 255 resources. View the full list on GitHub →