Yutong-Zhou-cv/Awesome-Text-to-Image
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
Curated collection of papers, datasets, evaluation metrics, and implementation resources organized across text-to-image synthesis subtasks including face generation, image editing, and domain-specific applications. Covers diffusion models, GANs, transformer-based architectures, and vision-language approaches like CLIP integration. Maintains chronological and topic-organized paper lists with code implementations, alongside benchmarking datasets (MS-COCO, CelebA-HQ) and quantitative metrics (FID, Inception Score, LPIPS).
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Feb 07, 2026
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