Add task categories, relevant tags, paper link, and sample usage for Paper2Video dataset

README.md

@@ -2,12 +2,19 @@
 license: mit
 tags:
 - agent
+- multimodal
+- video-generation
+task_categories:
+- any-to-any
+language:
+- en
 ---
-# Paper2Video: Automatic Video Generation From Scientifuc Papers
+
+# Paper2Video: Automatic Video Generation From Scientific Papers
 
 <!-- Provide a quick summary of the dataset. -->
 
-[📃Arxiv]() | [🌐 Project Page](https://showlab.github.io/Paper2Video/) | [💻Github](https://github.com/showlab/Paper2Video)
+[📃 Paper](https://huggingface.co/papers/2510.05096) | [🌐 Project Page](https://showlab.github.io/Paper2Video/) | [💻Github](https://github.com/showlab/Paper2Video)
 
 
 ## Dataset Description
@@ -30,6 +37,56 @@ This repository contains two main components:
   - **ref_img.png**: the identity image of the author  
   - **ref_audio.wav**: the identity voice sample of the author  
 
+## Sample Usage
+
+The PaperTalker framework, part of Paper2Video, enables automatic academic presentation video generation. Follow these steps to get started:
+
+### Requirements
+Prepare the environment by installing necessary packages and cloning dependent repositories:
+
+```bash
+cd src
+conda create -n p2v python=3.10
+conda activate p2v
+pip install -r requirements.txt
+````
+Download the dependent code and follow the instructions in **[Hallo2](https://github.com/fudan-generative-vision/hallo2)** to download the model weight.
+```bash
+git clone https://github.com/fudan-generative-vision/hallo2.git
+git clone https://github.com/Paper2Poster/Paper2Poster.git
+```
+You need to **prepare the environment separately for talking-head generation** to potentially avoid package conflicts. Please refer to [Hallo2](https://github.com/fudan-generative-vision/hallo2). After installing, use `which python` to get the python environment path.
+```bash
+cd hallo2
+conda create -n hallo python=3.10
+conda activate hallo
+pip install -r requirements.txt
+```
+
+### Configure LLMs
+Export your API credentials:
+```bash
+export GEMINI_API_KEY="your_gemini_key_here"
+export OPENAI_API_KEY="your_openai_key_here"
+```
+
+### Inference
+The `pipeline.py` script provides an automated pipeline for generating academic presentation videos. It takes **LaTeX paper sources** together with **reference image/audio** as input to produce a complete presentation video. The minimum recommended GPU for running this pipeline is **NVIDIA A6000** with 48G.
+
+Run the following command to launch a full generation:
+```bash
+python pipeline.py \
+    --model_name_t gpt-4.1 \
+    --model_name_v gpt-4.1 \
+    --model_name_talking hallo2 \
+    --result_dir /path/to/output \
+    --paper_latex_root /path/to/latex_proj \
+    --ref_img /path/to/ref_img.png \
+    --ref_audio /path/to/ref_audio.wav \
+    --talking_head_env /path/to/hallo2_env \
+    --gpu_list [0,1,2,3,4,5,6,7]
+```
+For a detailed list of arguments and further instructions, please refer to the [GitHub repository](https://github.com/showlab/Paper2Video).
 
 ## Ethics