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+# DenoisingGait (CVPR'25)
+### For `00-DenoisingFea_96x48.pkl`
+
+For the data, we preserved the diffusion features and fed them into the subsequent recognition network.  
+In our initial configuration, we adopted **Stable Diffusion v1.5**, set the inference loop to **1**, and fixed \( t = 700 \) to extract the denoised features.  
+The input resolution was \((3, 768, 384)\) \((C, H, W)\), and the resulting feature map had the shape \((4, 96, 48)\).  
+These features, together with the silhouette inputs, were then passed to the downstream **DenoisingGait** network.
+
+
+
+```
+data_for_DenoisingGait
+├── 0000                            # Identity
+│   ├── 00-nm                       # sequence_number - sequence_covariates
+│   │   ├── 000                     # viewpoint_angle
+│   │   │   ├── 00-DenoisingFea_96x48.pkl                
+│   │   │   └── 01-Sils_96x48.pkl       
+                ......
+            ......
+        ......
+    ......
+```
+