Initno: Boosting text-to-image diffusion models via initial noise optimization

[PDF] arxiv.org

I4VGen: Image as Stepping Stone for Text-to-Video Generation

X Guo, J Liu, M Cui, D Huang - arXiv preprint arXiv:2406.02230, 2024 - arxiv.org
Text-to-video generation has lagged behind text-to-image synthesis in quality and diversity
due to the complexity of spatio-temporal modeling and limited video-text datasets. This …
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[PDF] arxiv.org

The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise

Y Ban, R Wang, T Zhou, B Gong, CJ Hsieh… - arXiv preprint arXiv …, 2024 - arxiv.org
Diffusion models have achieved remarkable success in text-to-image generation tasks;
however, the role of initial noise has been rarely explored. In this study, we identify specific …
相关文章 所有 2 个版本
[PDF] arxiv.org

Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models

K Xu, L Zhang, J Shi - arXiv preprint arXiv:2405.14828, 2024 - arxiv.org
Recent advances in text-to-image (T2I) diffusion models have facilitated creative and
photorealistic image synthesis. By varying the random seeds, we can generate various …
被引用次数：1 相关文章 所有 2 个版本