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app.py CHANGED
@@ -47,7 +47,7 @@ This is official demo for our CVPR 2025 paper <a href="">StdGEN: Semantic-Decomp
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  Code: <a href='https://github.com/hyz317/StdGEN' target='_blank'>GitHub</a>. Paper: <a href='https://arxiv.org/abs/2411.05738' target='_blank'>ArXiv</a>.
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- ❗️❗️❗️**Important Notes:** This is only a **PREVIEW** version with **coarse precision geometry and texture** due to gradio use. We skip some refinement process and perform only color back-projection to clothes and hair. Please refer to GitHub repo for complete version.
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  1. Refinement stage takes about ~2.5min, and the mesh result may possibly delayed due to the server load, please wait patiently.
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  2. You can upload any reference image (with or without background), A-pose images are also supported (white bkg required). If the image has an alpha channel (transparency), background segmentation will be automatically performed. Alternatively, you can pre-segment the background using other tools and upload the result directly.
 
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  Code: <a href='https://github.com/hyz317/StdGEN' target='_blank'>GitHub</a>. Paper: <a href='https://arxiv.org/abs/2411.05738' target='_blank'>ArXiv</a>.
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+ ❗️❗️❗️**Important Notes:** This is only a **PREVIEW** version with **coarse precision geometry and texture** due to limited online resource. We skip some refinement process and perform only color back-projection to clothes and hair. Please refer to GitHub repo for complete version.
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  1. Refinement stage takes about ~2.5min, and the mesh result may possibly delayed due to the server load, please wait patiently.
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  2. You can upload any reference image (with or without background), A-pose images are also supported (white bkg required). If the image has an alpha channel (transparency), background segmentation will be automatically performed. Alternatively, you can pre-segment the background using other tools and upload the result directly.