This part of the demo uses Marigold depth maps estimated in the previous step to create a 3D-printable model. The models are watertight, with correct normals, ...
We present Marigold, a diffusion model, and associated fine-tuning protocol for monocular depth estimation. Its core principle is to leverage the rich visual ...
We present Marigold, a diffusion model and associated fine-tuning protocol for monocular depth estimation. Its core principle is to leverage the rich visual ...
monocular depth estimation pipeline · Issue #6533 - Marigold - GitHub
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Jan 11, 2024 · Marigold depth is the current diffusion-based state-of-the-art monocular depth estimation pipeline (image-to-depth). It is derived from Stable ...
We present Marigold, a diffusion model and associated fine-tuning protocol for monocular depth estimation. Its core principle is to leverage the rich visual ...
Dec 14, 2023 · marigold depth calculation node · when you save as an image format you are re-mapping those values yet again to a very limited number of values.
Dec 4, 2023 · We introduce Marigold, a method for affine-invariant monocular depth estimation that is derived from Stable Diffusion and retains its rich prior ...
Jun 19, 2024 · The Marigold model, originally designed for monocular depth estimation, repurposes the visual knowledge stored in modern generative image models ...
Duration: 5:04
Posted: Jan 15, 2024
Posted: Jan 15, 2024
Jun 30, 2024 · I've come across the paper "Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation" and found its code on GitHub.