Marigold是CVPR 2024 Best Paper Award Candidate,在Depth Anything V2中提出过,做单目深度有两种路线:discriminative modeling(如Depth Anything)和diffusion-based modeling(就是Marigold)。前者有着Robustness, Efficiency和Transferability,但是后者能有Fine-grained detail(如下图)。 diffusion-based modeling vs. discrimina...
Marigold, a standout in the CVPR 2024 Best Paper Award competition, introduces a novel approach in Depth Anything V2 for single-camera depth estimation. Two primary paths exist for single-camera depth estimation: discriminative modeling, exemplified by Depth Anything, and diffusion-based ...
We introduce Marigold, a method for affine-invariant monocular depth estimation that is derived from Stable Diffusion and retains its rich prior knowledge. The estimator can be fine-tuned in a couple of days on a single GPU using only synthetic training data. It delivers state-of-the-art ...
Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation CVPR 2024 (Oral, Best Paper Award Candidate) This repository represents the official implementation of the paper titled "Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation". ...
3 mRNA diffusion and spatial cell type assignment analyses. a, Images highlighting the spots of the Array-seq slide that were under (orange) or outside (blue) of the two MOB sections which were profiled. b, Spatial plots of total UMIs detected per spot across both MOB Array-seq data ...
作者部署了依赖于人工智能、网络扩散(network diffusion)和网络接近性(network proximity)的算法,对6340种药物进行抗SARS-CoV-2预期疗效的排名。作者挑选了918种基本药物进行了实验验证,以评估现有的药物重利用方法学的表现,并使用一个共识算法(consensus algorithm)来增加预测准确率。最后,作者选出了6种降低病毒感染的药...
diffusion profile of drugs on their constructed Multi-scale Interactome (MSI) network and revealed that integrating gene ontology (GO) annotations on biomedical network improved both DDA prediction performance and interpretability. A Graph Convolutional Network (GCN)-based drug repurposing model, biFusion...
Synergy testing indicated that combinations of ceftriaxone-ketoprofen (153.77%), ceftriaxone-meloxicam (149.55%), amoxiclav-flunixin meglumine (106.06%), and oxytetracycline-flunixin meglumine (104.47%) showed synergy on well diffusion assay. Based on the fractional inhibitory concentration index by ...
Proof of concept experiments confirmed that rifampicin accumulation was an active process; residual accumulation was observed at low temperature (4 °C), probably associated with unspecific binding to the bacterial cell wall or passive diffusion, while a saturable active rifampicin uptake was observed...
including Kullback–Leibler (KL) and Jensen–Shannon (JS) divergence16, graph-theoretical network proximity approach19, diffusion state distance (DSD)17, state-of-the-art GNN methods, including relational graph convolutional networks (RGCNs)18,26, heterogeneous graph transformer (HGT)27and heterogeneou...