diff --git a/README.md b/README.md index 2a93eb1..23a9068 100644 --- a/README.md +++ b/README.md @@ -1,13 +1,21 @@ -# MeshDiffusion: Score-based Generative 3D Mesh Modeling (ICLR 2023 Spotlight) - -![MeshDiffusion Teaser](/assets/mesh_teaser.jpg) - -This is the official implementation of MeshDiffusion (https://openreview.net/forum?id=0cpM2ApF9p6). - -MeshDiffusion is a diffusion model for generating 3D meshes with a direct parametrization of deep marching tetrahedra (DMTet). Please refer to https://meshdiffusion.github.io for more details. +# MeshDiffusion: Score-based Generative 3D Mesh Modeling -![MeshDiffusion Pipeline](/assets/meshdiffusion_pipeline.jpg) +
+ +
+ +## Introduction + +This is the official implementation of [MeshDiffusion](https://openreview.net/forum?id=0cpM2ApF9p6) (ICLR 2023 Spotlight). + +MeshDiffusion is a diffusion model for generating 3D meshes with a direct parametrization of deep marching tetrahedra (DMTet). Please refer to [our project page](https://meshdiffusion.github.io) for more details and interactive demos. + + + +
+ +
## Getting Started @@ -19,11 +27,13 @@ MeshDiffusion is a diffusion model for generating 3D meshes with a direct parame - Pytorch3D -Follow the instructions to install requirements for nvdiffrec: https://github.com/NVlabs/nvdiffrec +Follow the instructions to install requirements for [nvdiffrec](https://github.com/NVlabs/nvdiffrec) ### Pretrained Models -Download the model checkpoints from https://drive.google.com/drive/folders/15IjbUM1tQf8gS0YsRqY5ZbMs-leJgoJ0?usp=sharing. +Download the model checkpoints from [Google Drive](https://drive.google.com/drive/folders/15IjbUM1tQf8gS0YsRqY5ZbMs-leJgoJ0?usp=sharing). + +Download our pretrained MeshDiffusion model for [chair](https://keeper.mpdl.mpg.de/f/95640f5bd3764a44b907/?dl=1), [car](https://keeper.mpdl.mpg.de/f/061265ef78df494baaf5/?dl=1) and [airplane](https://keeper.mpdl.mpg.de/f/f5074d6b0cb24445a80d/?dl=1). ## Inference