LGM
dreamgaussian
| LGM | dreamgaussian | |
|---|---|---|
| 2 | 1 | |
| 1,343 | 3,696 | |
| 13.8% | - | |
| 6.6 | 7.6 | |
| 2 months ago | 5 months ago | |
| Python | Python | |
| MIT License | MIT License |
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LGM
- LGM: Large Multi-View Gaussian Model – Create 3D model from text or single image
-
GaussianObject: Just Taking Four Images to Get a High-Quality 3D Object
I wonder how this compares to LGM outputs which also came out recently - https://github.com/3DTopia/LGM - specifically LGM looks like it's generating the additional viewpoints from text or an image and then creating a mesh whereas GaussianObject seems to require 4 viewpoints.
We're getting closer to workflows that can generate good 3d objects and texture them with diffusion models, there's a bit of work in integrating these into existing tooling though - also, animations and rigging for characters still seems to be a big issue (at least I haven't seen any good 3d generation models that can create rigged characters yet).
dreamgaussian
-
JavaScript Gaussian Splatting Library
This mixed with the new text/image to 3D brings us some really exciting possibilities.
https://github.com/gsgen3d/gsgen
https://github.com/dreamgaussian/dreamgaussian
What are some alternatives?
stable-dreamfusion - Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
GaussianObject - Code for "GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting"
DreamCraft3D - [ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
zero123plus - Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.