LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
Enis Simsar, Thomas Hofmann, Federico Tombari, Pinar Yanardag
2025年份
7顶会引用
摘要
<PITT> & <MARGOT>, inside a futuristic spaceship, sci-fi realism… <MESSI> & <TAYLOR> & <LEBRON> , on a seashore, wearing denim jackets, in <COMIC> style… CONCEPTS Figure 1. High-Fidelity Multi-Concept Image Generation. Examples illustrating LoRACLR's ability to generate unified scenes with multiple distinct characters and styles across diverse settings. Each scene demonstrates LoRACLR's capability to combine varied concepts seamlessly, preserving the original identities of each character, as seen in concepts.
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引用它的顶会 Paper7
- LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow TransformersYusuf Dalva, Hidir Yesiltepe, Pinar YanardagNeurIPS 2025 · 被引用 13 次
- SplitFlux: Learning to Decouple Content and Style from a Single ImageYitong Yang, Yinglin Wang, Changshuo Wang, Yongjun Zhang 等CVPR 2026 · 被引用 5 次
- QR-LoRA: Efficient and Disentangled Fine-Tuning via QR Decomposition for Customized GenerationJiahui Yang, Yongjia Ma, Donglin Di, Jianxun Cui 等ICCV 2025 · 被引用 3 次
- Contrastive Test-Time Composition of Multiple LoRA Models for Image GenerationTuna Han Salih Meral, Enis Simsar, Federico Tombari, Pinar YanardagICCV 2025 · 被引用 1 次
- CaricHarmony: Contrastive Diffusion Paths for Identity-Preserving Caricature SynthesisDongyu Wang, Dar-Yen Chen, Yi-Zhe SongCVPR 2026
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
- Denoising Diffusion Implicit ModelsJiaming Song, Chenlin Meng, Stefano ErmonICLR 2021 · 被引用 11,743 次
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