Improve README with TeX-1500 details

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  1. README.md +88 -12
README.md CHANGED
@@ -87,6 +87,25 @@ This repository releases two inference checkpoints from
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  [TeX-1500: A Paired Real-World LWIR Hyperspectral Dataset and Benchmark for
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  Temperature-Emissivity-Texture Decomposition](https://arxiv.org/abs/2606.03806).
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  ## Files
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  ```text
@@ -129,6 +148,18 @@ TeX-UNet/
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  Both checkpoints are stored as `safetensors` and contain only the model state
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  dict, not optimizer state.
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  ## Benchmark
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  The initial benchmark reports TeX-UNet inversion results on held-out DARPA IH
@@ -204,8 +235,50 @@ python scripts/verify_load.py \
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  The dataset is hosted separately at
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  [jialelin2007/TeX-1500](https://huggingface.co/datasets/jialelin2007/TeX-1500).
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- It is a gated dataset; log in to Hugging Face and accept the dataset access
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- conditions before downloading files:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```bash
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  hf auth login
@@ -217,12 +290,12 @@ hf download jialelin2007/TeX-1500 \
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  The dataset license and access terms are governed by the dataset repository.
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- ## Links
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- - Paper: https://arxiv.org/abs/2606.03806
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- - Dataset: https://huggingface.co/datasets/jialelin2007/TeX-1500
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- - Code: https://github.com/dccc2025/TeX-1500
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- - Model: https://huggingface.co/dccc2025/TeX-UNet
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  ## Limitations
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@@ -237,10 +310,13 @@ The dataset license and access terms are governed by the dataset repository.
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  ## Citation
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  ```bibtex
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- @article{dai2026tex1500,
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- title = {TeX-1500: A Paired Real-World LWIR Hyperspectral Dataset and Benchmark for Temperature-Emissivity-Texture Decomposition},
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- author = {Dai, Cheng and Lin, Jiale and Xu, Hongyi and Song, Bingxuan and Xie, Ziyang and Bao, Fanglin},
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- journal = {arXiv preprint arXiv:2606.03806},
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- year = {2026}
 
 
 
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  }
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  ```
 
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  [TeX-1500: A Paired Real-World LWIR Hyperspectral Dataset and Benchmark for
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  Temperature-Emissivity-Texture Decomposition](https://arxiv.org/abs/2606.03806).
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+ ## Authors
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+
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+ - Cheng Dai ([Hugging Face](https://huggingface.co/dccc2025), [GitHub](https://github.com/dccc2025))*
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+ - Jiale Lin ([Hugging Face](https://huggingface.co/jialelin2007), [GitHub](https://github.com/jialelin2007))*
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+ - Hongyi Xu
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+ - Bingxuan Song
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+ - Ziyang Xie
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+ - Fanglin Bao
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+
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+ *Equal Contribution.
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+
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+ ## Links
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+
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+ - Hugging Face Papers: [TeX-1500](https://huggingface.co/papers/2606.03806)
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+ - arXiv: [2606.03806](https://arxiv.org/abs/2606.03806)
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+ - Dataset: [jialelin2007/TeX-1500](https://huggingface.co/datasets/jialelin2007/TeX-1500)
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+ - Code: [dccc2025/TeX-1500](https://github.com/dccc2025/TeX-1500)
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+ - Model: [dccc2025/TeX-UNet](https://huggingface.co/dccc2025/TeX-UNet)
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+
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  ## Files
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  ```text
 
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  Both checkpoints are stored as `safetensors` and contain only the model state
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  dict, not optimizer state.
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+ Each checkpoint uses the same TeX-UNet-v2 architecture:
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+
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+ - input HSI tensor: `[B, 64, H, W]`
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+ - input wavelength tensor: `[64]` or `[B, 64]`, in micrometers
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+ - outputs:
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+ - `T`: `[B, 1, H, W]`, temperature
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+ - `e`: `[B, 64, H, W]`, spectral emissivity
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+ - `X`: `[B, 1, H, W]`, texture
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+ - wavelength range: 6-14 micrometers
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+ - inference tiling: `224 x 224` patches, stride `112`, raised-cosine blending
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+ - released parameter count: `34,279,155`
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+
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  ## Benchmark
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  The initial benchmark reports TeX-UNet inversion results on held-out DARPA IH
 
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  The dataset is hosted separately at
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  [jialelin2007/TeX-1500](https://huggingface.co/datasets/jialelin2007/TeX-1500).
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+ The local dataset release notes describe TeX-1500 as a paired LWIR HSI benchmark
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+ with 1,522 calibrated real-scene HSI-TeX pairs from DARPA pushbroom data and
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+ FTIR acquisitions.
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+
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+ The dataset repository is separate from this model repository. The current
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+ dataset release is a preview containing one example sample for format inspection
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+ and visualization; the full dataset is planned for a later release.
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+
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+ Current preview layout:
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+
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+ ```text
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+ data/sample_0001/
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+ hsi.mat
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+ hsi_noisy.mat
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+ T.mat
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+ e.mat
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+ X.mat
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+ previews/
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+ T.png
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+ e.png
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+ X.png
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+ hsi_band.png
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+ ```
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+
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+ The preview `.mat` files use MATLAB v5 format:
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+
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+ | File | Variable | Shape | Dtype | Description |
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+ |---|---|---:|---|---|
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+ | `hsi.mat` | `denoised_hsi_original` | `[260, 1500, 256]` | `single` | Denoised calibrated LWIR HSI cube. |
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+ | `hsi.mat` | `hsi_wav` | `[1, 256]` | `double` | HSI wavelength grid. |
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+ | `hsi.mat` | `good_band_indices` | `[1, 230]` | `int64` | 0-indexed valid band indices used by the processing pipeline. |
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+ | `hsi.mat` | `calibrated_sky` | `[1, 256]` | `double` | Calibrated sky signal estimate. |
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+ | `hsi.mat` | `observed_sky` | `[1, 256]` | `double` | Observed sky signal estimate. |
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+ | `hsi.mat` | `working_wav` | `[1, 256]` | `single` | Calibrated working wavelength grid. |
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+ | `hsi_noisy.mat` | `hsi_noisy` | `[260, 1500, 256]` | `single` | Noisy input HSI cube. |
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+ | `T.mat` | `T` | `[260, 1500]` | `single` | Temperature field. |
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+ | `e.mat` | `e` | `[260, 1500, 256]` | `single` | Spectral emissivity field. |
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+ | `X.mat` | `X` | `[260, 1500]` | `single` | Texture field. |
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+
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+ Preview PNG files are for visual inspection only and should not be treated as
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+ numeric labels.
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+
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+ If the Hugging Face dataset repository requires authentication, log in and
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+ accept its access terms before downloading files:
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  ```bash
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  hf auth login
 
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  The dataset license and access terms are governed by the dataset repository.
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+ ## License
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+ This model repository is released under Apache-2.0. The TeX-1500 dataset files
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+ are hosted separately and are distributed under the PolyForm Noncommercial
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+ License 1.0.0 in the dataset repository. TeX-1500 dataset files are not included
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+ in this model repository.
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  ## Limitations
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  ## Citation
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  ```bibtex
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+ @misc{dai2026tex1500pairedrealworldlwir,
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+ title={TeX-1500: A Paired Real-World LWIR Hyperspectral Dataset and Benchmark for Temperature-Emissivity-Texture Decomposition},
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+ author={Cheng Dai and Jiale Lin and Hongyi Xu and Bingxuan Song and Ziyang Xie and Fanglin Bao},
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+ year={2026},
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+ eprint={2606.03806},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2606.03806},
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  }
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  ```