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TeTIm-Eval: a novel curated evaluation data set for comparing
  text-to-image models

TeTIm-Eval: a novel curated evaluation data set for comparing text-to-image models

15 December 2022
Federico A. Galatolo
M. G. Cimino
E. Cogotti
ArXivPDFHTML

Papers citing "TeTIm-Eval: a novel curated evaluation data set for comparing text-to-image models"

2 / 2 papers shown
Title
How Much Can CLIP Benefit Vision-and-Language Tasks?
How Much Can CLIP Benefit Vision-and-Language Tasks?
Sheng Shen
Liunian Harold Li
Hao Tan
Mohit Bansal
Anna Rohrbach
Kai-Wei Chang
Z. Yao
Kurt Keutzer
CLIP
VLM
MLLM
196
405
0
13 Jul 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,774
0
24 Feb 2021
1