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README.md

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----
-license: mit
----
+---
+license: mit
+library_name: glimpse-ct
+tags:
+- computed-tomography
+- inverse-problems
+- image-reconstruction
+- implicit-neural-representation
+- sparse-view-ct
+pipeline_tag: image-to-image
+---
+
+# GLIMPSE — Generalized Locality for Scalable and Robust CT
+
+Coordinate-based CT reconstruction from sparse-view sinograms
+([paper](https://ieeexplore.ieee.org/abstract/document/11018464),
+[arXiv](https://arxiv.org/abs/2401.00816),
+[code](https://github.com/swing-research/Glimpse)). GLIMPSE predicts each pixel
+from only the sinogram data local to that pixel, which gives strong
+out-of-distribution generalization.
+
+## This checkpoint
+
+| | |
+|---|---|
+| Image size | 128 |
+| Projection angles (views) | 50 |
+| Noise (SNR, dB) | 45 |
+| Forward operator | `odl` (circle=False) |
+
+## Usage
+
+```python
+from glimpse import GlimpseModel
+model = GlimpseModel.from_pretrained("AmirEhsan1995/Glimpse").eval()
+# reconstruct: see glimpse.reconstruct.reconstruct_image and the demo notebook
+# at https://github.com/swing-research/Glimpse
+```
+
+## Citation
+
+```bibtex
+@article{khorashadizadeh2025glimpse,
+  title   = {GLIMPSE: Generalized Locality for Scalable and Robust CT},
+  author  = {Khorashadizadeh, AmirEhsan and Debarnot, Valentin and Liu, Tianlin and Dokmani{\'c}, Ivan},
+  journal = {IEEE Transactions on Medical Imaging},
+  year    = {2025},
+  doi     = {10.1109/TMI.2025.3568017}
+}
+```

config.json

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+{
+  "circle": false,
+  "filter_name": "ramp",
+  "geometry": "odl",
+  "head_type": "MLP",
+  "image_size": 128,
+  "init_angles_deg": [
+    0.0,
+    3.6,
+    7.2,
+    10.8,
+    14.4,
+    18.0,
+    21.6,
+    25.2,
+    28.8,
+    32.4,
+    36.0,
+    39.6,
+    43.2,
+    46.800000000000004,
+    50.4,
+    54.0,
+    57.6,
+    61.2,
+    64.8,
+    68.4,
+    72.0,
+    75.60000000000001,
+    79.2,
+    82.8,
+    86.4,
+    90.0,
+    93.60000000000001,
+    97.2,
+    100.8,
+    104.4,
+    108.0,
+    111.60000000000001,
+    115.2,
+    118.8,
+    122.4,
+    126.0,
+    129.6,
+    133.20000000000002,
+    136.8,
+    140.4,
+    144.0,
+    147.6,
+    151.20000000000002,
+    154.8,
+    158.4,
+    162.0,
+    165.6,
+    169.20000000000002,
+    172.8,
+    176.4
+  ],
+  "learn_geometry": false,
+  "learn_patch": true,
+  "learnable_filter": true,
+  "patch_shape": "round",
+  "patch_size": 9
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:285c9b948b1b2d025f01f73a0a4372cfc5aea8d84aecc185a0b31ee8f0c7f756
+size 5256452