Add paper abstract

app.py

@@ -1678,6 +1678,15 @@ if __name__ == "__main__":
     with gr.Blocks(css=css) as demo:
         with gr.Column(elem_id="col-container"):
             gr.Markdown("# AccDiffusion: An Accurate Method for Higher-Resolution Image Generation")
+            gr.Markdown("### Paper Abstract")
+            gr.Markdown("""
+            This paper attempts to address the object repetition issue in patch-wise higher-resolution image generation. 
+            We propose AccDiffusion, an accurate method for patch-wise higher-resolution image generation without training. 
+            An in-depth analysis in this paper reveals an identical text prompt for different patches causes repeated object generation, while no prompt compromises the image details. 
+            Therefore, our AccDiffusion, for the first time, proposes to decouple the vanilla image-content-aware prompt into a set of patch-content-aware prompts, each of which serves as a more precise description of an image patch. 
+            Besides, AccDiffusion also introduces dilated sampling with window interaction for better global consistency in higher-resolution image generation. 
+            Experimental comparison with existing methods demonstrates that our AccDiffusion effectively addresses the issue of repeated object generation and leads to better performance in higher-resolution image generation.
+            """)
             gr.HTML("""
             <div style="display:flex;column-gap:4px;">
                 <a href='https://lzhxmu.github.io/accdiffusion/accdiffusion.html'>