JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation
Yu Zeng, Vishal M. Patel, Haochen Wang, Xun Huang, Ting-Chun Wang, Ming-Yu Liu, Yogesh Balaji
2024年份
14顶会引用
摘要
eration quality, both quantitatively and qualitatively, significantly outperforming both the prior finetuning-based and finetuning-free personalization baselines.
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引用它的顶会 Paper14
- CoRe: Context-Regularized Text Embedding Learning for Text-to-Image PersonalizationFeize Wu, Yun Pang, Junyi Zhang, Lianyu Pang 等AAAI 2025 · 被引用 13 次
- UP2You: Fast Reconstruction of Yourself from Unconstrained Photo CollectionsZeyu Cai, Ziyang Li, Xiaoben Li, Boqian Li 等ICLR 2026 · 被引用 11 次
- FashionDPO: Fine-tune Fashion Outfit Generation Model using Direct Preference OptimizationMingzhe Yu, Yunshan Ma, Lei Wu, Changshuo Wang 等SIGIR 2025 · 被引用 8 次
- DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion ModelsZhengyang Yu, Zhaoyuan Yang, Jing ZhangNeurIPS 2024 · 被引用 7 次
- Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven GenerationAbdelrahman Eldesokey, Aleksandar Cvejic, Bernard Ghanem, Peter WonkaNeurIPS 2025 · 被引用 6 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
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 被引用 35,902 次
- Diffusion Models Beat GANs on Image SynthesisPrafulla Dhariwal, Alexander Quinn NicholNeurIPS 2021 · 被引用 13,211 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
- 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
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