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Want to obtain time-consistent dynamic mesh from monocular videos? Introducing: Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Monocular Videos We reconstruct meshes with flexible topology change and build the corresp. across meshes. 🧵(1/n)

71,819 次观看 • 2 年前 •via X (Twitter)

15 条评论

Isabella Liu 的头像
Isabella Liu2 年前

We also apply our method on real-world captures. Our method is able to produce satisfying meshes given dynamic monocular input videos. 🧵(2/n)

Isabella Liu 的头像
Isabella Liu2 年前

With mesh-to-mesh correspondence, we support downstream applications such as texture editing on dynamic objects. 🧵(3/n)

Isabella Liu 的头像
Isabella Liu2 年前

In our method, we deform canonical 3D Gaussian points into different times and use the differentiable poisson solver and marching cubes to turn the oriented point cloud into the mesh. Because of this, we can reconstruct the mesh with flexible topology change. 🧵(4/n)

Isabella Liu 的头像
Isabella Liu2 年前

To acquire the mesh-to-mesh corresp., we decompose it into two separate corresps. that are easier to acquire: 1. the mesh-to-point corresp. achieved by Gaussian-Mesh Anchoring and 2. the points-to-canonical-point corresp. maintained by the Cycle-Consistent Deformation. 🧵(5/n)

Isabella Liu 的头像
Isabella Liu2 年前

ArXiv: Project page: GitHub: 🧵(6/n)

Hongwei Yi 的头像
Hongwei Yi2 年前

Nice results, I am wondering the training time, how long does it take for training for like 10 seconds video with 20 fps?

Isabella Liu 的头像
Isabella Liu2 年前

Hi Hongwei, thanks for asking! Currently it takes ~90min to train 200 frames

Blurry 的头像
Blurry2 年前

It looks awsome...great work!

You Jiacheng 的头像
You Jiacheng2 年前

How to compute the cycle consistency loss? G and G' don't have 1-1 correspondence (because of density control, avg&create), how to define F_f(G, t) = F_d(G', t) ? Also F should take (x, t) or their positional encoding as input, what does F(G, t) mean?

Isabella Liu 的头像
Isabella Liu2 年前

Hi Youjia, thanks for your question! F(G, t) means the same thing as F(x, t). G’ should be the form of G under the deformed space, so they have 1-1 corresp.

You Jiacheng 的头像
You Jiacheng2 年前

Oh, there are two G' in the paper. The first one is the G under the deformed space, the second one is the G under the deformed space and anchored by averaging properties & creating new Gaussian at face centroid.

Rui Chen 的头像
Rui Chen2 年前

Great work! Very high quality!

You Jiacheng 的头像
You Jiacheng2 年前

Awesome!

Dillon Claassens 的头像
Dillon Claassens1 年前

Did you work for crucible labs?

Leo@Yuhao 的头像
Leo@Yuhao2 年前

awesome work. Will you plan to release the raw iphone captured data and the script for generating the data? I tested the referred code but failed

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