Add link to Hugging Face paper page

README.md

@@ -1,8 +1,8 @@
 ---
-license: apache-2.0
 language:
 - en
 library_name: pytorch
+license: apache-2.0
 pipeline_tag: image-to-image
 tags:
 - reflection-removal
@@ -12,18 +12,18 @@ tags:
 - pytorch
 ---
 
-# DIRS Models and Data
+# DIRS: Principled Reflection Separation via Nonlinear Superposition and Feature Interaction
 
-This repository hosts the released checkpoints and TJReflection real-world data
-for **DIRS: Principled Reflection Separation via Nonlinear Superposition and
-Feature Interaction**.
+This repository hosts the released checkpoints and TJReflection real-world data for **DIRS: Principled Reflection Separation via Nonlinear Superposition and Feature Interaction**.
 
+Authors: Qiming Hu, Mingjia Li, Yuntong Li, Xiaojie Guo.
+
+- [Hugging Face Paper Page](https://huggingface.co/papers/2606.02831)
 - [Code](https://github.com/mingcv/DIRS)
 - [Project Page](https://mingcv.github.io/DIRS-Page)
-- [Paper](https://openreview.net/pdf?id=Shwtw8uV8l)
+- [Paper (OpenReview)](https://openreview.net/pdf?id=Shwtw8uV8l)
 
-DIRS studies reflection separation under a nonlinear sRGB image formation model
-and provides three released variants:
+DIRS studies reflection separation under a nonlinear sRGB image formation model and provides three released variants:
 
 - **DIRS-YTMT**: CNN interaction through feature recycling.
 - **DIRS-MuGI**: CNN interaction through mutual gating.
@@ -45,13 +45,11 @@ datasets/
   TJReflection/
 ```
 
-`datasets/TJReflection/` contains 175 real-world reflection images used by the
-DIRS release.
+`datasets/TJReflection/` contains 175 real-world reflection images used by the DIRS release.
 
 ## Checkpoints
 
-Metrics are reported on the LORS test setting at 256 x 256 resolution. Runtime
-is measured on a single NVIDIA RTX 3090.
+Metrics are reported on the LORS test setting at 256 x 256 resolution. Runtime is measured on a single NVIDIA RTX 3090.
 
 | Model | Type | Params | FLOPs | Time | PSNR | SSIM | File |
 |---|---:|---:|---:|---:|---:|---:|---|
@@ -70,9 +68,7 @@ Supplementary checkpoints:
 
 ## Usage
 
-Clone this repository or download it from the Hugging Face UI, then place
-`checkpoints/` and `datasets/` at the root of the
-[DIRS code repository](https://github.com/mingcv/DIRS):
+Clone this repository or download it from the Hugging Face UI, then place `checkpoints/` and `datasets/` at the root of the [DIRS code repository](https://github.com/mingcv/DIRS):
 
 ```bash
 git clone https://github.com/mingcv/DIRS.git
@@ -101,12 +97,7 @@ Available evaluation configs in the code repository:
 
 ## Intended Use
 
-These files are intended for academic research and reproducibility in image
-reflection separation, reflection scene reconstruction, and polarized reflection
-separation. The models are not designed as a safety-critical restoration system
-and may fail on images outside the training and evaluation distribution,
-including unusual glass materials, severe saturation, extreme low light, or
-strong misalignment.
+These files are intended for academic research and reproducibility in image reflection separation, reflection scene reconstruction, and polarized reflection separation. The models are not designed as a safety-critical restoration system and may fail on images outside the training and evaluation distribution, including unusual glass materials, severe saturation, extreme low light, or strong misalignment.
 
 ## Citation
 
@@ -119,4 +110,4 @@ If you use these checkpoints, data, or code, please cite:
   journal={arXiv preprint},
   year={2026}
 }
-```
+```