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

Liang Zheng

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

4 / 4 papers shown

Title
TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation Weixi Feng Jiachen Li Michael Stephen Saxon Tsu-jui Fu Wenhu Chen William Yang Wang EGVM VGen 38 9 0 12 Jun 2024
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 90 6 0 27 May 2024
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 392 4,137 0 28 Jan 2022
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 4,781 0 24 Feb 2021