https://github.com/kyegomez/gamba

Implementation of PyTorch: "GAMBA: MARRY GAUSSIAN SPLATTING WITH MAMBA FOR SINGLE-VIEW 3D RECONSTRUCTION"
https://github.com/kyegomez/gamba

3d-ai ai artificial-intelligence dalle generative-ai mamba ml ssm stable-diffusion transformers

Last synced: 11 days ago
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Implementation of PyTorch: "GAMBA: MARRY GAUSSIAN SPLATTING WITH MAMBA FOR SINGLE-VIEW 3D RECONSTRUCTION"

• Host: GitHub
• URL: https://github.com/kyegomez/gamba
• Owner: kyegomez
• License: mit
• Created: 2024-03-30T03:47:10.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-04-03T21:50:05.000Z (8 months ago)
• Last Synced: 2024-04-14T03:24:11.395Z (7 months ago)
• Topics: 3d-ai, ai, artificial-intelligence, dalle, generative-ai, mamba, ml, ssm, stable-diffusion, transformers
• Language: Python
• Homepage: https://discord.gg/7VckQVxvKk
• Size: 2.31 MB
• Stars: 41
• Watchers: 3
• Forks: 2
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

        
[![Multi-Modality](agorabanner.png)](https://discord.gg/qUtxnK2NMf)

# Gamba

Implementation of "GAMBA: MARRY GAUSSIAN SPLATTING WITH MAMBA FOR SINGLE-VIEW 3D RECONSTRUCTION" in PyToch.

![Diagram](diagram.png)

## install

`$ pip install gamba-torch`

## usage

```python

import torch 

from gamba.main import Gamba

# Forward pass of the GambaDecoder module.

x = torch.randn(1, 1000, 512)

# Model

model = Gamba(

    dim=512,

    d_state=512,

    d_conv=512,

    n=16384,

    depth=3

)

# Out

out = model(x)

print(out)

```

# License

MIT

# Todo

- [ ] Paper Link

- [ ] Citation bibtex