mirror
/
MeshDiffusion
kopia lustrzana https://github.com/lzzcd001/MeshDiffusion
1
0
Forkuj 0
Kod Zgłoszenia Packages Projekty Wydania Wiki Aktywność

Update README.md

pull/1/head
Weiyang Liu 2023-03-13 20:58:27 +01:00 zatwierdzone przez GitHub
rodzic cab022c04d
commit 6a5b6ccbb9
Nie znaleziono w bazie danych klucza dla tego podpisu
ID klucza GPG: 4AEE18F83AFDEB23
1 zmienionych plików z 20 dodań i 10 usunięć
Pokaż statystyki Ściągnij plik aktualizacji Ściągnij plik porównania Expand all files Collapse all files

30
README.md
Wyświetl plik

@ -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)
<div align="center">
<img src="assets/mesh_teaser.jpg" width="900"/>
</div>
## 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.
<div align="center">
<img src="assets/meshdiffusion_pipeline.jpg" width="900"/>
</div>
## 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