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Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image
  Alignment with Iterative VQA Feedback

Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback

10 July 2023
Jaskirat Singh
Liang Zheng
ArXivPDFHTML

Papers citing "Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback"

3 / 3 papers shown
Title
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance
Jiannan Huang
Jun Hao Liew
Hanshu Yan
Yuyang Yin
Yao Zhao
Yunchao Wei
Yunchao Wei
DiffM
87
5
0
27 May 2024
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
382
4,010
0
28 Jan 2022
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
253
4,735
0
24 Feb 2021
1