MicroDiffusion: Implicit Representation-Guided Diffusion for 3D ...
网页2024年3月16日 · Volumetric optical microscopy using non-diffracting beams enables rapid imaging of 3D volumes by projecting them axially to 2D images but lacks crucial depth information. Addressing this, we introduce MicroDiffusion, a pioneering tool facilitating high-quality, depth-resolved 3D volume reconstruction from limited 2D projections.
CVPR'24 | 从有限的2D显微投影到高清3D重建 - 知乎
网页2024年3月21日 · MicroDiffusion是一种创新的3D重建框架，旨在解决快速体积成像和生物医学研究中对深度丰富可视化的需求。 该框架巧妙地结合了Implicit Neural Representation (INR)和Diffusion Models，利用有限的2D投影重建高分辨率的3D图像，显著增强了光学显微 …
CVPR'24 | 从有限的2D显微投影到高清3D重建 - 哔哩哔哩
网页2024年3月21日 · MicroDiffusion是一种创新的3D重建框架，旨在解决快速体积成像和生物医学研究中对深度丰富可视化的需求。 该框架巧妙地结合了Implicit Neural Representation (INR)和Diffusion Models，利用有限的2D投影重建高分辨率的3D图像，显著增强了光学显微 …
网页Building upon these strengths, we propose MicroDiffusion, a hybrid approach integrating INR’s global structural coher-ence with DDPM’s detail enhancement capabilities. MicroDiffusion encompasses two key designs as shown in Fig.2: 1) INR pretraining, which transforms 2D projec-tions into a preliminary 3D volumetric output, establishing
CVPR 2024 Open Access Repository
网页Volumetric optical microscopy using non-diffracting beams enables rapid imaging of 3D volumes by projecting them axially to 2D images but lacks crucial depth information. Addressing this we introduce MicroDiffusion a pioneering tool facilitating high-quality depth-resolved 3D volume reconstruction from limited 2D projections.
MicroDiffusion: Implicit Representation-Guided Diffusion for 3D ...
网页Volumetric optical microscopy using non-diffracting beams, offers rapid imaging of 3D volumes by projecting them axially to 2D images, but it often falls short in providing depth information. To address this limitation, we introduce MicroDiffusion, a pioneering tool designed for high-quality, depth-resolved 3D volume reconstruction from a ...
网页1.1. SSIM. The Structural Similarity Index Measure (SSIM) serves as a pivotal metric in quantifying the resemblance between two images. It evaluates three fundamental aspects: Luminance, Contrast, and Structure. Luminance is quantified through the mean gray scale value of the pixels, encapsulated in the equation: 2μxμy + C1. l(x, y) = , μ2 + μ2.
MicroDiffusion/README.md at main · UCSC-VLAA/MicroDiffusion - GitHub
网页Volumetric optical microscopy using non-diffracting beams enables rapid imaging of 3D volumes by projecting them axially to 2D images but lacks crucial depth information. Addressing this, we introduce MicroDiffusion, a pioneering tool facilitating high-quality, depth-resolved 3D volume reconstruction from limited 2D projections.
Publications - Zihao Wei
网页Efficient Vision-Language Pre-training by Cluster Masking. Zihao Wei, Zixuan Pan and Andrew Owens. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR 2024) MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections.
CVPR 2024 | 绝了！！最新 diffusion 扩散模型梳理！100+篇论文 …
网页2024年4月16日 · 为实现这一目标，提出三种不同的架构，可以有效地捕获和聚合不同粒度的扩散特征，极大地提高了物体姿态估计的通用性。. 方法在LM、O-LM和T-LESS三个常用的基准数据集上的性能优于现有方法，特别是在未见过的物体上更是达到了更高的准确率：在未见 …