diff --git a/mshub_res/assets/mindspore/2.5/instantmesh.md b/mshub_res/assets/mindspore/2.5/instantmesh.md index 618ababf9a3c38fa95c4fd58c52343a5bddffd43..5dd7709560070a83ed5e4b56691e72d5d610945e 100644 --- a/mshub_res/assets/mindspore/2.5/instantmesh.md +++ b/mshub_res/assets/mindspore/2.5/instantmesh.md @@ -92,11 +92,7 @@ A walk-through of the file structure is provided here as below. InstantMesh [[1]](#acknowledgements) synergizes the strengths of a multiview diffusion model and a sparse-view reconstruction model based on the LRM [[2]](#acknowledgements) architecture. It also adopts FlexiCubes [[3]](#acknowledgements) isosurface extraction for a smoother and more elegant mesh extraction. -Using the multiview images input from 3D mesh extracted from [the sv3d pipeline](../sv3d/simple_video_sample.py), we extracted 3D meshes as below. Please kindly find the input illustrated by following the link to the sv3d pipeline above. - -|

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| -|---------------------------------------------------------------------------------|---------------------------------------------------------------------------------| -| [3D model](https://sketchfab.com/models/c8b5b475529d48589b85746aab638d2b/embed) | [3D model](https://sketchfab.com/models/180fd247ba2f4437ac665114a4cd4dca/embed) | +Using the multiview images input from 3D mesh extracted from [the sv3d pipeline](https://github.com/mindspore-lab/mindone/blob/v0.3.0/examples/sv3d/simple_video_sample.py), we extracted the [3D model](https://sketchfab.com/models/180fd247ba2f4437ac665114a4cd4dca/embed). Please kindly find the input illustrated by following the link to the sv3d pipeline above. The illustrations here are better viewed in viewers than with HTML support (e.g., the vscode built-in viewer).