bluestyle97 commited on
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bd14a5a
1 Parent(s): 64d9658

Update app.py

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  1. app.py +21 -7
app.py CHANGED
@@ -245,16 +245,22 @@ def make3d(images):
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  _HEADER_ = '''
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  <h2><b>Official 🤗 Gradio Demo</b></h2><h2><a href='https://github.com/TencentARC/InstantMesh' target='_blank'><b>InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models</b></a></h2>
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- '''
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- _LINKS_ = '''
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- <h3>Important Note: Our demo supports exporting a .obj mesh with vertex colors or a .glb mesh now. If you prefer to export a .obj mesh with a texture map, please refer to our <a href='https://github.com/TencentARC/InstantMesh?tab=readme-ov-file#running-with-command-line' target='_blank'>Github repo</a>.</h3>
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- <h3>Code is available at <a href='https://github.com/TencentARC/InstantMesh' target='_blank'>GitHub</a></h3>
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- <h3>Report is available at <a href='https://arxiv.org/abs/2404.07191' target='_blank'>ArXiv</a></h3>
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- <h3>Feel free to open a discussion if you meet any problem!</h3>
 
 
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  '''
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  _CITE_ = r"""
 
 
 
 
 
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  ```bibtex
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  @article{xu2024instantmesh,
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  title={InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models},
@@ -263,6 +269,14 @@ _CITE_ = r"""
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  year={2024}
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  }
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  ```
 
 
 
 
 
 
 
 
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  """
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@@ -343,6 +357,7 @@ with gr.Blocks() as demo:
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  label="Output Model (OBJ Format)",
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  interactive=False,
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  )
 
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  with gr.Tab("GLB"):
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  output_model_glb = gr.Model3D(
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  label="Output Model (GLB Format)",
@@ -353,7 +368,6 @@ with gr.Blocks() as demo:
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  with gr.Row():
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  gr.Markdown('''Try a different <b>seed value</b> if the result is unsatisfying (Default: 42).''')
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- gr.Markdown(_LINKS_)
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  gr.Markdown(_CITE_)
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  mv_images = gr.State()
 
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  _HEADER_ = '''
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  <h2><b>Official 🤗 Gradio Demo</b></h2><h2><a href='https://github.com/TencentARC/InstantMesh' target='_blank'><b>InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models</b></a></h2>
 
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+ **InstantMesh** is a feed-forward framework for efficient 3D mesh generation from a single image based on the LRM/Instant3D architecture.
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+
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+ Code: <a href='https://github.com/TencentARC/InstantMesh' target='_blank'>GitHub</a>. Techenical report: <a href='https://arxiv.org/abs/2404.07191' target='_blank'>ArXiv</a>.
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+
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+ ❗️❗️❗️**Important Notes:**
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+ - Our demo can export a .obj mesh with vertex colors or a .glb mesh now. If you prefer to export a .obj mesh with a **texture map**, please refer to our <a href='https://github.com/TencentARC/InstantMesh?tab=readme-ov-file#running-with-command-line' target='_blank'>Github Repo</a>.
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+ - The 3D mesh generation results highly depend on the quality of generated multi-view images. Please try a different **seed value** if the result is unsatisfying (Default: 42).
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  '''
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  _CITE_ = r"""
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+ If InstantMesh is helpful, please help to ⭐ the <a href='https://github.com/TencentARC/InstantMesh' target='_blank'>Github Repo</a>. Thanks! [![GitHub Stars](https://img.shields.io/github/stars/TencentARC/InstantMesh?style=social)](https://github.com/TencentARC/InstantMesh)
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+ ---
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+ 📝 **Citation**
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+
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+ If you find our work useful for your research or applications, please cite using this bibtex:
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  ```bibtex
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  @article{xu2024instantmesh,
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  title={InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models},
 
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  year={2024}
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  }
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  ```
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+
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+ 📋 **License**
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+
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+ Apache-2.0 LICENSE. Please refer to the [LICENSE file](https://huggingface.co/spaces/TencentARC/InstantMesh/blob/main/LICENSE) for details.
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+
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+ 📧 **Contact**
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+
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+ If you have any questions, feel free to open a discussion or contact us at <b>bluestyle928@gmail.com</b>.
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  """
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  label="Output Model (OBJ Format)",
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  interactive=False,
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  )
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+ gr.Markdown("Note: Downloaded .obj model will be flipped. Export .glb instead or manually flip it before usage.")
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  with gr.Tab("GLB"):
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  output_model_glb = gr.Model3D(
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  label="Output Model (GLB Format)",
 
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  with gr.Row():
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  gr.Markdown('''Try a different <b>seed value</b> if the result is unsatisfying (Default: 42).''')
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  gr.Markdown(_CITE_)
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  mv_images = gr.State()