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...
1. Overview Title: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation TLDR: This work introduces Marigold, a depth estimation model that finetunes Stable Diffusion’s U-Net …
This is a wrapper node for Marigold depth estimation:https://github.com/prs-eth/Marigold Join us at theBanodoco Discordfor discussion on the use and node development:https://discord.com/channels/1076117621407223829/1184863853096484865 What I know of the parameters so far: ...
We present Marigold, a diffusion model, and associated fine-tuning protocol for monocular depth estimation. Its core principle is to leverage the rich visual knowledge stored in modern generative image models. Our model, derived from Stable Diffusion and fine-tuned with synthetic data, can zero-sho...
If you would like to experiment with the depth estimation and 3D printing features of Marigold, you can head on over to the web-based GUI over at the program’s Hugging Face space over atthis link. Come and let us know your thoughts on ourFacebook,X, andLinkedInpages, and don’t forg...
particularly for computer vision tasks other than image classification. Interestingly, an isotropic architecture was recently used for keypoint-based fish morphometric analysis [70], suggesting its potential utility for animal pose estimation. We tailor our architectures to our two datasets as described ...
nodes import MarigoldDepthEstimation, MarigoldDepthEstimationVideo, ColorizeDepthmap, SaveImageOpenEXR, RemapDepth 2 + from .nodes_v2 import MarigoldModelLoader, MarigoldDepthEstimation_v2, MarigoldDepthEstimation_v2_video 2 3 3 - WEB_DIRECTORY = "./web" 4 - __all__ = ["NODE_CLASS_...
This an example of training the Marigold Depth Estimation using accelerator using the sceneflow dataset. Since the original training code is not open source, only the inference pipeline is released, so the performance is not guaranteed. BTW, Any other dataset is fine, just change the dataloader....
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation https://arxiv.org/abs/2312.02145 Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler ETH Zurich 单目深度估计是一项基本的计算机视觉任务。 从单个图像中恢复 3D 深度在几何上是不适定的,...
Our method, Marigold-DC, builds on a pretrained latent diffusion model for monocular depth estimation and injects the depth observations as test-time guidance via an optimization scheme that runs in tandem with the iterative inference of denoising diffusion. The method exhibits excellent zero-shot ...