逆向扩散过程:常见的DDPM的reverse process 方法部分,设计了一个3D图的自编码器,而在diffusion部分,是套用了常见的forward/reverse过程。 这里是对两个部分,分别是坐标以及节点的表征做了Diffusion。因为从AutoEncoder部分可以看出,Decoder的时候,输入也是需要坐标以及节点表征的,最终就可以重建出3D坐标了。 4.Experiment ...
摘要: Latent diffusion model for generating 3D structural component designs.Framework for generating component designs consistent with topology optimization.Generated designs have similar (near-optimal) strain energy to SIMP designs.Large scale 3D voxel dataset for structural topology optimization....
Diffusion models have been successfully applied to point cloud generation tasks recently. The main notion is using a forward process to progressively add n
Paper tables with annotated results for LaGDif: Latent Graph Diffusion Model for Efficient Protein Inverse Folding with Self-Ensemble
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models Andreas Blattmann1 *,† Robin Rombach1 *,† Huan Ling2,3,4 * Tim Dockhorn2,3,5 *,† Seung Wook Kim2,3,4 Sanja Fidler2,3,4 Karsten Kreis2 1LMU Munich 2...
"desc": "Selected influential academic papers in the Stable Diffusion ecosystem", "original": "Original", "control": "Control", "consistency": "Consistency", @@ -104,24 +104,24 @@ }, "diffuseum": { "title": "Diffuseum Podcast", "desc": "Diffuseum 是一个对生成式图像、开源人工智能...
Inspired by recent generative AI approaches, particularly Diffusion Models (DM), we propose Graph Latent Diffusion Model (GLDM)鈥攁 latent DM that preserves both the effectiveness of autoencoders of compressing complex chemical data and the DM's capabilities of generating novel molecules. Specifically...
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and a projection layer. GKNs were found to be unstable for multiple layers and a new graph neural operator was developed in28based on a discrete non-local diffusion-reaction equation. Furthermore, to alleviate the inefficiency and cost of evaluating integral operators, the Fourier neural operator...
因此,不需要像Stable Diffusion或Comfy UI那样的工作流程,比如在这里遮罩,然后在那儿填充,所有这些小模型导致的无聊步骤。有大模型的人会说,嘿,我们把你放进了Transformer的所有内容中。这就是多模态战争,你是押注于全能模型,还是像个傻瓜一样将一堆小模型串在一起?