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DaTaobao Tech
DaTaobao Tech
Feb 28, 2024 · Artificial Intelligence

A Survey of Image Quality Evaluation Metrics for Text-to-Image Generation

The survey traces the evolution of image‑quality evaluation for text‑to‑image generation—from early handcrafted edge and color cues, through GAN‑era similarity scores such as IS, FID and KID, to modern perceptual and CLIP‑based metrics like LPIPS, CLIPScore, TRIQ, IQT and human‑preference models—highlighting a shift toward semantic, aesthetic, and text‑image alignment measures and forecasting domain‑specific metrics for future diffusion models.

GANGenerative Modelsdeep learning
0 likes · 18 min read
A Survey of Image Quality Evaluation Metrics for Text-to-Image Generation
Xianyu Technology
Xianyu Technology
Jun 30, 2018 · Artificial Intelligence

No-Reference Image Sharpness Assessment Based on Strong Edge Validity Statistics

The paper proposes a no‑reference image sharpness metric that computes strong‑edge validity statistics—ratio of maximum directional gradient sum to squared strong‑edge count—across image blocks, classifies them into grades, and effectively handles defocus and motion blur for applications such as video thumbnail selection.

No-Referencecomputer visionedge statistics
0 likes · 8 min read
No-Reference Image Sharpness Assessment Based on Strong Edge Validity Statistics