diff --git a/configs/server/server_train_config.yaml b/configs/server/server_train_config.yaml
index 6e44234..bf12e1b 100644
--- a/configs/server/server_train_config.yaml
+++ b/configs/server/server_train_config.yaml
@@ -90,7 +90,7 @@ pipeline:
   nbv_reconstruction_global_pts_pipeline:
     modules:
       pts_encoder: pointnet_encoder
-      pose_seq_encoder: transformer_pose_seq_encoder
+      pose_seq_encoder: transformer_seq_encoder
       pose_encoder: pose_encoder
       view_finder: gf_view_finder
     eps: 1e-5
@@ -107,20 +107,12 @@ module:
     feature_transform: False
 
   transformer_seq_encoder:
-    pts_embed_dim: 1024
-    pose_embed_dim: 256
+    embed_dim: 1344
     num_heads: 4
     ffn_dim: 256
     num_layers: 3
     output_dim: 2048
 
-  transformer_pose_seq_encoder:
-    pose_embed_dim: 256
-    num_heads: 4
-    ffn_dim: 256
-    num_layers: 3
-    output_dim: 1024
-
   gf_view_finder:
     t_feat_dim: 128
     pose_feat_dim: 256
diff --git a/core/global_pts_n_num_pipeline.py b/core/global_pts_n_num_pipeline.py
index efc2bb8..04a360b 100644
--- a/core/global_pts_n_num_pipeline.py
+++ b/core/global_pts_n_num_pipeline.py
@@ -12,21 +12,24 @@ class NBVReconstructionGlobalPointsPipeline(nn.Module):
         super(NBVReconstructionGlobalPointsPipeline, self).__init__()
         self.config = config
         self.module_config = config["modules"]
+        
         self.pts_encoder = ComponentFactory.create(
             namespace.Stereotype.MODULE, self.module_config["pts_encoder"]
         )
         self.pose_encoder = ComponentFactory.create(
             namespace.Stereotype.MODULE, self.module_config["pose_encoder"]
         )
-        self.pose_n_num_seq_encoder = ComponentFactory.create(
-            namespace.Stereotype.MODULE, self.module_config["pose_n_num_seq_encoder"]
+        self.pts_num_encoder = ComponentFactory.create(
+            namespace.Stereotype.MODULE, self.module_config["pts_num_encoder"]
+        )
+        
+        self.transformer_seq_encoder = ComponentFactory.create(
+            namespace.Stereotype.MODULE, self.module_config["transformer_seq_encoder"]
         )
         self.view_finder = ComponentFactory.create(
             namespace.Stereotype.MODULE, self.module_config["view_finder"]
         )
-        self.pts_num_encoder = ComponentFactory.create(
-            namespace.Stereotype.MODULE, self.module_config["pts_num_encoder"]
-        )
+        
 
         self.eps = float(self.config["eps"])
         self.enable_global_scanned_feat = self.config["global_scanned_feat"]
@@ -128,7 +131,7 @@ class NBVReconstructionGlobalPointsPipeline(nn.Module):
             seq_embedding = torch.cat([pose_feat_seq, pts_num_feat_seq, partial_feat_seq], dim=-1) # Tensor(S x (Dp+Dn+Dl))
             embedding_list_batch.append(seq_embedding) # List(B): Tensor(S x (Dp+Dn+Dl))
 
-        seq_feat = self.pose_n_num_seq_encoder.encode_sequence(embedding_list_batch) # Tensor(B x Ds)
+        seq_feat = self.transformer_seq_encoder.encode_sequence(embedding_list_batch) # Tensor(B x Ds)
 
         main_feat = torch.cat([seq_feat, global_scanned_feat], dim=-1) # Tensor(B x (Ds+Dg))