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3dgs-room-capture
sarayusapa/3dgs-room-capture
3dgs-room-capture is a machine learning model from sarayusapa. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
A trained 3D Gaussian Splatting model of an indoor room capture.
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Public
Updated Apr 13, 2026
Repo size
1.3 MB
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At a glance
- Access
- Public
- Created
- Apr 13, 2026
- Updated
- Apr 13, 2026
- SHA
- 822aff7c
Model card
From the Hugging Face model README
3DGS Room Capture
A trained 3D Gaussian Splatting model of an indoor room capture.
Model Details
- Framework: 3DGS (3D Gaussian Splatting)
- Training Steps: 30,000
- Scene: Indoor room capture with furniture
- Checkpoint:
ckpt_30000.pt - Resolution: Full resolution Gaussian splats
Usage
from threedgrut.render import Renderer
renderer = Renderer.from_checkpoint(
checkpoint_path="ckpt_30000.pt",
path="",
out_dir="./renders"
)
# Render frames
renderer.render_all()
Performance
- Mean PSNR: ~28 dB on validation set
- Inference Speed: ~2.97 ms/frame
Sample Renders
See sample_render.png for a sample rendered frame.
Citation
If you use this model, please cite the original 3DGS paper and the 3DGUT framework.
Uploaded with ❤️ via Hugging Face Hub
- Created
- Apr 13, 2026
- Updated
- Apr 13, 2026