Update model card for Hear-Your-Click

This PR completely revamps the model card to accurately describe the **Hear-Your-Click** model, replacing the incorrect "Diff-Foley" content.

Key updates include:
- A comprehensive description of the model, its innovations, and purpose based on the paper abstract.
- Addition of the `pipeline_tag: video-to-audio` to the metadata for better discoverability.
- Direct links to the paper: https://huggingface.co/papers/2507.04959 and the GitHub repository: https://github.com/SynapGrid/Hear-Your-Click-2024.
- Detailed usage instructions for installation, model checkpoint download, and inference, as provided in the original GitHub repository.
- The correct BibTeX citation.

Please review and merge.

README.md

@@ -1,30 +1,95 @@
 ---
 license: mit
+pipeline_tag: video-to-audio
 ---
 
-### (NeurIPS 2023) Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models 
-### Official Model Repo
+# Hear-Your-Click: Interactive Object-Specific Video-to-Audio Generation
 
-#### Model Include:
-- Stage1-CAVP Pretrained Model.
-- Stage2-LDM Pretrained Model.
-- Double Guidance Classifier.
+This repository contains the official model for **Hear-Your-Click**, an interactive framework designed for object-specific video-to-audio (V2A) generation. It enables users to generate sounds for specific objects within a video simply by clicking on the frame, addressing the limitations of global video information in complex scenes.
+
+**[📚 Paper](https://huggingface.co/papers/2507.04959)** | **[💻 GitHub Repository](https://github.com/SynapGrid/Hear-Your-Click-2024)**
 
 <p align="center">
-    <img src="teaser.png">
+    <img src="https://github.com/user-attachments/assets/2ca49ab5-80ca-42c4-b9a5-9dc7959ac358">
 </p>
 
-## BibTeX
+## About Hear-Your-Click
 
-```bibtex
-@misc{luo2023difffoley, 
-title={Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models}, 
-author={Simian Luo and Chuanhao Yan and Chenxu Hu and Hang Zhao}, 
-year={2023}, 
-eprint={2306.17203}, 
-archivePrefix={arXiv}, 
-primaryClass={cs.SD} 
-}
+Hear-Your-Click introduces several key innovations to improve V2A generation:
+-   **Object-aware Contrastive Audio-Visual Fine-tuning (OCAV)** with a **Mask-guided Visual Encoder (MVE)** to obtain object-level visual features aligned with audio.
+-   Two tailored data augmentation strategies: **Random Video Stitching (RVS)** and **Mask-guided Loudness Modulation (MLM)**, which enhance the model's sensitivity to segmented objects.
+-   A new evaluation metric, the **CAV score**, designed to measure audio-visual correspondence more accurately.
+
+This framework offers more precise control and significantly improves generation performance across various metrics.
+
+## Installation
+
+To set up the Hear-Your-Click environment, follow these steps:
+
+1.  **Clone the repository**:
+    ```bash
+    git clone https://github.com/SynapGrid/Hear-Your-Click-2024.git
+    cd Hear-Your-Click-2024
+    ```
+
+2.  **(Optional) Create a Conda environment**:
+    ```bash
+    conda env create -n hyc python=3.9.11
+    conda activate hyc
+    ```
+
+3.  **Install dependencies**:
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+## Model Checkpoints
+
+1.  **Download the model weights** and place them in `./hyc_inference/inference/ckpt/`:
+    *   [epoch=000059.ckpt](https://drive.google.com/file/d/1QX24gEmN-cG03NlO0zT1geK1eUgOqDtk/view?usp=drive_link)
+    *   [epoch_10.pt](https://drive.google.com/file/d/15tbqXR-99QNg-Il6wxPD66q4EM4UkVvJ/view?usp=drive_link)
+    *   [eval_classifier.ckpt](https://huggingface.co/SimianLuo/Diff-Foley/resolve/main/diff_foley_ckpt/eval_classifier.ckpt)
+    *   [double_guidance_classifier.ckpt](https://huggingface.co/SimianLuo/Diff-Foley/resolve/main/diff_foley_ckpt/double_guidance_classifier.ckpt)
+
+    You can use `gdown` and `wget` for convenient downloading:
+    ```bash
+    pip install gdown
+
+    cd ./hyc_inference/inference/ckpt
+
+    gdown https://drive.google.com/uc?id=1QX24gEmN-cG03NlO0zT1geK1eUgOqDtk
+
+    gdown https://drive.google.com/uc?id=15tbqXR-99QNg-Il6wxPD66q4EM4UkVvJ
+
+    wget https://huggingface.co/SimianLuo/Diff-Foley/resolve/main/diff_foley_ckpt/eval_classifier.ckpt
+
+    wget https://huggingface.co/SimianLuo/Diff-Foley/resolve/main/diff_foley_ckpt/double_guidance_classifier.ckpt
+    ```
+
+2.  **Download additional model weights** and place them in `./checkpoints`:
+    *   [clap_clip.pt](https://github.com/MCR-PEFT/C-MCR/blob/main/checkpoints/clap_clip.pt)
+    *   [laion_clap_fullset_fusion.pt](https://huggingface.co/lukewys/laion_clap/blob/main/630k-fusion-best.pt)
+    *   [clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32)
+
+## Inference Command
+
+Launch the inference demo using the following command:
+```bash
+python app.py --device cuda:0,1 --sam_model_type vit_b
 ```
 
+## Citation
+
+If you find this work useful for your research or applications, please cite our paper:
 
+```bibtex
+@misc{liang2025hearyourclickinteractivevideotoaudiogeneration,
+      title={Hear-Your-Click: Interactive Video-to-Audio Generation via Object-aware Contrastive Audio-Visual Fine-tuning}, 
+      author={Yingshan Liang and Keyu Fan and Zhicheng Du and Yiran Wang and Qingyang Shi and Xinyu Zhang and Jiasheng Lu and Peiwu Qin},
+      year={2025},
+      eprint={2507.04959},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2507.04959}, 
+}
+```