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README.md

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 ![1-teaser-v3-out-1](https://user-images.githubusercontent.com/27779063/206553254-582cb70f-4174-45db-a254-8c00dac4662e.png)
 SDFusion is a diffusion-based 3D shape generator. It enables various applications. (left) SDFusion can generate 3D shapes conditioned on different input modalities, including partial shapes, images, and text. SDFusion can even jointly handle multiple conditioning modalities while controlling the strength for each of them. (right) We showcase an application where we leverage pretrained 2D models to texture 3D shapes generated by SDFusion.
 
-https://user-images.githubusercontent.com/27779063/206553305-e01009f7-3131-4a6b-bda7-572699d97338.mp4
 We also use a 3D-printer to print out the generated shapes of SDFusion.
 
+https://user-images.githubusercontent.com/27779063/206553305-e01009f7-3131-4a6b-bda7-572699d97338.mp4
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 # Code
 
 Code for "SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation" (coming soon!).