TeTIm-Eval: A Novel Curated Evaluation Data Set for Comparing Text-to-Image Models.
Federico A. GalatoloMario G. C. A. CiminoEdoardo CogottiPublished in: ICPRAM (2023)
Keyphrases
- data sets
- image data
- image analysis
- input image
- image content
- single image
- random fields
- multiscale
- template matching
- image classification
- image pixels
- bayesian framework
- statistical model
- image regions
- database
- high resolution
- image features
- pixel values
- low level
- visual effects
- web images
- image collections
- image retrieval
- probabilistic model
- training set
- text retrieval
- training data
- keypoints
- image sequences
- image segmentation
- image statistics
- scanned documents
- image registration