Detailed Information on Denoising Diffusion Models DM可以用信噪比SNR(t)=\frac {\alpha^2_t} {\sigma^2_t}组成的序列(\alpha_t)^T_{t=1}和(\sigma_t)^T_{t=1}来指定,故从数据样本x_0开始,定义一个前向diffusion过程q:q(x_t|x_0)=N(x_t|\alpha_tx_0,\sigma^2_tI)\\ 指定s <t时,...
D. Varshney, S. Kumar, V. Gupta, "Modeling information diffusion in social networks using latent topic information", Intelligent Computing Theory, ICIC 2014, Lecture Notes in Computer Science, vol. 8588, pp. 137-148, 2014.Varshney, D., Kumar, S., Gupta, V.: Modeling information diffusion...
必须强调,Stable Diffusion 是一个准平衡态近似的结果。如果是平衡态,则不需要引入动力学过程,也不需要引入 beta scheduling。顺便提一句,如果 Stable Diffusion 的采样是个平衡态的结果,那么一定可以用一个深度神经网络通过单次推理得到类似甚至更好的结果。 两个极端 即便忽略 Stable Diffusion 中的 Classifier-free ...
In this paper, we propose to adapt a image-level blended latent diffusion model to perform local video editing tasks. Specifically, we leverage DDIM inversion to acquire the latents as background latents instead of the randomly noised ones to better preserve the background information of the ...
Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks - tsungtingkuo/diffusion
were generated by theDPT-Large depth estimation modelat a resolution of 384 × 384. These maps were converted into three-channel RGB-like arrays to match the input requirements of the Stable Diffusion model. This conversion involved unpacking the 16-bit depth data into three 8-bit...
People's opinion has always driven human choices and behaviors, even before the diffusion of Information and Communication Technologies. Thanks to the World Wide Web and the widespread of On-Line collaborative tools such as blogs, focus groups, review web sitesorums, social networks, millions of ...
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The vital nodes identified by attention weight matrix are elites in a Chinese co-investment network, the most popular papers in the APS citation network or the most influential nodes in disease spreading and information diffusion networks. We also discover that the vector representations extracted ...
flexible generators for general conditioning inputs such as text or bounding boxes and high-resolution synthesis becomes possible in a convolutional manner. Our latent diffusion models (LDMs) achieve new state-of-the-art scores for image inpainting and class-conditional image synthesis and highly ...