Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
Xun Wu, Shaohan Huang, Guolong Wang, Jing Xiong, Furu Wei
2024年份
26被引次数
7顶会引用
摘要
Recent studies have demonstrated the exceptional potentials of leveraging human preference datasets to refine text-to-image generative models
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引用它的顶会 Paper7
- EditReward: A Human-Aligned Reward Model for Instruction-Guided Image EditingKeming Wu, Sicong Jiang, Max Ku, Ping Nie 等ICLR 2026 · 被引用 60 次
- Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMsYifan Shen, Yuanzhe Liu, Jingyuan Zhu, Xu Cao 等NeurIPS 2025 · 被引用 41 次
- Multimodal LLMs Can Reason about Aesthetics in Zero-ShotRuixiang Jiang, Chang Wen ChenACM MM 2025 · 被引用 6 次
- Twin Co-Adaptive Dialogue for Progressive Image GenerationJianhui Wang, Yangfan He, Yan Zhong, Xinyuan Song 等ACM MM 2025 · 被引用 4 次
- Adaptive Routing of Text-to-Image Generation Requests between Large Cloud Model and Light-Weight Edge ModelZewei Xin, Qinya Li, Chaoyue Niu, Fan Wu 等ICCV 2025 · 被引用 2 次
它引用的顶会 Paper19
- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh 等ICML 2021 · 被引用 47,906 次
- Training language models to follow instructions with human feedbackLong Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida 等NeurIPS 2022 · 被引用 24,707 次
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser 等CVPR 2022 · 被引用 13,123 次
- Denoising Diffusion Implicit ModelsJiaming Song, Chenlin Meng, Stefano ErmonICLR 2021 · 被引用 11,743 次
- Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena, Lala Li 等NeurIPS 2022 · 被引用 8,965 次
相关 Paper
- HPSv3: Towards Wide-Spectrum Human Preference ScoreYuhang Ma, Xiaoshi Wu, Keqiang Sun, Hongsheng LiICCV 2025 · 被引用 13 次
- Learning Multi-Dimensional Human Preference for Text-to-Image GenerationSixian Zhang, Bohan Wang, Junqiang Wu, Yan Li 等CVPR 2024 · 被引用 15 次
- A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image SynthesisNailei Hei, Qianyu Guo, Zihao Wang, Yan Wang 等AAAI 2024 · 被引用 11 次
- Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image GenerationYuval Kirstain, Adam Polyak, Uriel Singer, Shahbuland Matiana 等NeurIPS 2023 · 被引用 1,192 次
- Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified AttentionKyungmin Jo, Jooyeol Yun, Jaegul ChooCVPR 2025
