风格迁移的论文我一直都很感兴趣,最近偶然看到这篇CVPR2024的论文,文章标题是Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer,无需训练+扩散模型两个关键词一下就把我吸引住了,所以决定仔细阅读一下。论文由韩国的成均馆大学Sungkyunkwan Universi...
[CVPR 2024 Highlight] Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer - jiwoogit/StyleID
Chung, J., Hyun, S., Heo, J.-P.: Style injection in diffusion: A training-free approach for adapting large-scale diffusion models for style transfer. arXiv preprint arXiv:2312.09008 (2023) Winnemöller, H., Olsen, S.C., Gooch, B.: Real-time video abstraction. ACM TOG 25(3), ...
@InProceedings{Chung_2024_CVPR, author = {Chung, Jiwoo and Hyun, Sangeek and Heo, Jae-Pil}, title = {Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision...
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In the first stage, our style injection module generates the stylistic features of the change region, guided by stylized images, facilitating a coarse style injection. The second stage involves the semantic retention module, which generates the target transfer image by managing both the hold region ...
论文标题:“Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models” 模型还是Diffusion,在其上做“Image Prompt” Adapter;(Adapter的思想是微调,即froze base model,添加可以trainable parameters,最早是by Google 2019) 其实,image prompt是关键词,图像提示,为这种prompt,做adapter的fine-tune 我们...
We then come up with the question:Can we leverage the step-by-step ability of pre-trained dif f u-sion models to achieve a balanced stylization by separatingthe injection of content and style features?In this work, we propose Dif f useST for style transfer, exploitingthe step-by-step ...
we introduce a novel artistic style transfer method based on a pre-trained large-scale diffusion model without any optimization. Specifically, we manipulate the features of self-attention layers as the way the cross-attention mechanism works; in the generation process, substituting the key and value...
Tuning-free diffusion-based models have demonstrated significant potential in the realm of image personalization and customization. However, despite this notable progress, current models continue to grapple with several complex challenges in producing style-consistent image generation. Firstly, the concept ...