Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation.
Zhenyu WangEnze XieAoxue LiZhongdao WangXihui LiuZhenguo LiPublished in: CoRR (2024)
Keyphrases
- language model
- image generation
- information retrieval
- language modeling
- n gram
- language modelling
- high resolution
- probabilistic model
- document level
- document retrieval
- retrieval model
- query expansion
- text retrieval
- statistical language models
- test collection
- smoothing methods
- text mining
- keywords
- digital imaging
- semantic information
- relevance model