Add dataset card for MedVSR

README.md

@@ -0,0 +1,39 @@
+---
+task_categories:
+- image-to-image
+tags:
+- medical
+- video-super-resolution
+- medical-imaging
+- surgical-video
+---
+
+# MedVSR Dataset
+
+[**Paper**](https://huggingface.co/papers/2509.21265) | [**GitHub**](https://github.com/CUHK-AIM-Group/MedVSR)
+
+MedVSR is a framework and dataset collection tailored for medical video super-resolution (VSR). It addresses unique challenges in clinical medical videos, such as camera shake, noise, and abrupt frame transitions, which often lead to alignment errors in standard VSR models.
+
+This repository contains preprocessed versions of the following medical datasets used in the study:
+- **HyperKvasir**: Endoscopy images and videos.
+- **LDPolyp**: A large-scale dataset for polyp detection and classification.
+- **EndoVis18**: Data from the Endoscopic Vision Challenge.
+
+These datasets cover various medical scenarios, including endoscopy and cataract surgeries, and are used to evaluate the MedVSR model's ability to selectively propagate consistent features and enhance tissue structures.
+
+## Dataset Preparation
+
+According to the [official repository](https://github.com/CUHK-AIM-Group/MedVSR), users should download the data from this Hugging Face repository and update the paths in the configuration files (e.g., `options/medvsr_train.yml`) to point to the extracted folders.
+
+## Citation
+
+If you find this dataset or the MedVSR framework useful for your research, please cite the following paper:
+
+```bibtex
+@inproceedings{liu2025medvsr,
+  title     = {MedVSR: Medical Video Super-Resolution with Cross State-Space Propagation},
+  author    = {Liu, Xinyu and Sun, Guolei and Wang, Cheng and Yuan, Yixuan and Konukoglu, Ender},
+  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
+  year      = {2025}
+}
+```