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Generate_human_motion

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vumichien commited on Jan 29, 2023

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1 Parent(s): 75d18c5

Update app.py

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@@ -262,8 +262,8 @@ with demo:
             <h1 style='text-align: center'>Generating Human Motion from Textual Descriptions with Discrete Representations (T2M-GPT)</h1>
             This space uses <a href='https://mael-zys.github.io/T2M-GPT/' target='_blank'><b>T2M-GPT models</b></a> based on Vector Quantised-Variational AutoEncoder (VQ-VAE) and Generative Pre-trained Transformer (GPT) for human motion generation from textural descriptions🤗
             <figure>
-              <img src="https://huggingface.co/vumichien/T2M-GPT/resolve/main/Teaser.png" alt="T2M-GPT", width="425", height=850>
-              <figcaption>Audio-visual HuBERT
               </figcaption>
             </figure>
             </div>

             <h1 style='text-align: center'>Generating Human Motion from Textual Descriptions with Discrete Representations (T2M-GPT)</h1>
             This space uses <a href='https://mael-zys.github.io/T2M-GPT/' target='_blank'><b>T2M-GPT models</b></a> based on Vector Quantised-Variational AutoEncoder (VQ-VAE) and Generative Pre-trained Transformer (GPT) for human motion generation from textural descriptions🤗
             <figure>
+              <img src="https://huggingface.co/vumichien/T2M-GPT/resolve/main/T2M-GPT.png" alt="T2M-GPT">
+              <figcaption>T2M-GPT
               </figcaption>
             </figure>
             </div>