一篇利用diffusion模型——LatentDiff,在隐空间,生成蛋白多构象的文章。该文做的是粗粒度生成,生成的是Cα原子的坐标。 文章链接:A Latent Diffusion Model for Protein Structure Generation 1. Abstract 蛋白质是复杂的生物分子,并且在生物体内发挥重要的功能。设计和生成新颖的蛋白质能够为未来许多合成生物学应用铺路,...
因此，李飞飞学生团队与谷歌研发者共同提出了窗口注意力潜在Transformer（Window Attention Latent Transformer，W.A.L.T），这是一种基于Transformer的潜在视频扩散模型（latent video diffusion models，LVDM）方法。当下，市面上的同类工具如Pika Labs推出的Pika 1.0、Runway的Gen-2，大都采用扩散模型（Diffusion Model...
2. 潜在扩散模型(Latent Diffusion Model, LDM):与LSGM不同,潜在扩散模型(LDM)分别处理自编码器和扩散模型的训练。首先,训练一个自编码器以生成低维的潜在空间。然后,训练扩散模型以生成潜在代码。DALLE-2 采用了类似的策略,通过在CLIP图像嵌入空间上训练一个扩散模型,然后训练一个单独的解码器以基于CLIP图像嵌入创...
Stable Diffusion is a latent diffusion model conditioned on the (non-pooled) text embeddings of a CLIP ViT-L/14 text encoder. We provide areference script for sampling, but there also exists adiffusers integration, which we expect to see more active community development. ...
[Early Accepted at MICCAI 2023] Pytorch Code of "InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model" - BioMedAI-UCSC/InverseSR
Dar, S. U. H.et al. Investigating data memorization in 3D latent diffusion models for medical image synthesis. InInternational Conference on Medical Image Computing and Computer-Assisted Intervention. (pp. 56-65). Cham: Springer Nature Switzerland (October, 2023). ...
For example, the techniques may include inputting latent variable data into a machine learned model. The machine learned model may output an object trajectory (e.g., position data, velocity data, acceleration data, etc.) for one or more objects in the environment based on the latent variable...
Conditional neural field latent diffusion model for generating spatiotemporal turbulence Article Open access 29 November 2024 Synthetic Lagrangian turbulence by generative diffusion models Article Open access 17 April 2024 Multi-resolution partial differential equations preserved learning framework for spatio...
Deep learning shows great potential in generation tasks thanks to deep latent representation. Generative models are classes of models that can generate observations randomly with respect to certain implied parameters. Recently, the diffusion Model becomes a raising class of generative models by virtue of...
An Easy Guide to Latent Diffusion Models Sep 20, 2022 Ahmed Besbes in Towards Data Science What Nobody Tells You About RAGs A deep dive into why RAG doesn’t always work as expected: an overview of the business value, the data, and the technology behind it...