Link paper and GitHub repository

README.md

@@ -1,21 +1,21 @@
 ---
-license: mit
-tags:
-- change captioning
-- vision-language
-- image-to-text
-- procedural reasoning
-- multimodal
-- pytorch
 datasets:
 - clevr-change
 - image-editing-request
 - spot-the-diff
+license: mit
 metrics:
 - bleu
 - meteor
 - rouge
 pipeline_tag: image-to-text
+tags:
+- change captioning
+- vision-language
+- image-to-text
+- procedural reasoning
+- multimodal
+- pytorch
 ---
 
 # ProCap: Experiment Materials
@@ -24,6 +24,12 @@ This repository contains the **official experimental materials** for the paper:
 
 > **Imagine How to Change: Explicit Procedure Modeling for Change Captioning**
 
+[[Paper](https://huggingface.co/papers/2603.05969)] [[Code](https://github.com/BlueberryOreo/ProCap)]
+
+ProCap is a framework that reformulates change modeling from static image comparison to dynamic procedure modeling. It features a two-stage design: 
+1. **Explicit Procedure Modeling**: Trains a procedure encoder to learn the change procedure from a sparse set of keyframes.
+2. **Implicit Procedure Captioning**: Integrates the trained encoder within an encoder-decoder model for captioning using learnable procedure queries.
+
 It provides **processed datasets**, **pre-trained model weights**, and **evaluation tools** for reproducing the results reported in the paper.
 
 📦 All materials are also available via [Baidu Netdisk](https://pan.baidu.com/s/1t_YXB6J_vkuPxByn2hat2A)