diff --git a/configs/server/server_train_config.yaml b/configs/server/server_train_config.yaml
index 2083121..2bf558d 100644
--- a/configs/server/server_train_config.yaml
+++ b/configs/server/server_train_config.yaml
@@ -7,11 +7,7 @@ runner:
     parallel: False
     
   experiment:
-<<<<<<< HEAD
-    name: test_new_pipeline_train_overfit
-=======
     name: debug
->>>>>>> 63a246c0c87d42f04076a459adcfdc88c954b09c
     root_dir: "experiments"
     use_checkpoint: False
     epoch: -1 # -1 stands for last epoch
@@ -43,9 +39,9 @@ dataset:
     type: train
     cache: True
     ratio: 1
-    batch_size: 16
+    batch_size: 160
     num_workers: 16
-    pts_num: 4096
+    pts_num: 8192
     load_from_preprocess: True
 
   OmniObject3d_test:
@@ -61,7 +57,7 @@ dataset:
     ratio: 0.05
     batch_size: 160
     num_workers: 12
-    pts_num: 4096
+    pts_num: 8192
     load_from_preprocess: True
 
   OmniObject3d_val:
@@ -77,7 +73,7 @@ dataset:
     ratio: 0.005
     batch_size: 160
     num_workers: 12
-    pts_num: 4096
+    pts_num: 8192
     load_from_preprocess: True
 
 
diff --git a/core/nbv_dataset.py b/core/nbv_dataset.py
index 5dafad3..628f031 100644
--- a/core/nbv_dataset.py
+++ b/core/nbv_dataset.py
@@ -114,6 +114,10 @@ class NBVReconstructionDataset(BaseDataset):
         except Exception as e:
             Log.error(f"Save cache failed: {e}")
 
+    def voxel_downsample_with_mask(self, pts, voxel_size):
+        pass
+
+
     def __getitem__(self, index):
         data_item_info = self.datalist[index]
         scanned_views = data_item_info["scanned_views"]
@@ -162,9 +166,8 @@ class NBVReconstructionDataset(BaseDataset):
         )
 
         combined_scanned_views_pts = np.concatenate(scanned_views_pts, axis=0)
-        fps_downsampled_combined_scanned_pts, fps_idx = PtsUtil.fps_downsample_point_cloud(
-            combined_scanned_views_pts, self.pts_num, require_idx=True
-        )
+        voxel_downsampled_combined_scanned_pts_np = PtsUtil.voxel_downsample_point_cloud(combined_scanned_views_pts, 0.002)
+        random_downsampled_combined_scanned_pts_np = PtsUtil.random_downsample_point_cloud(voxel_downsampled_combined_scanned_pts_np, self.pts_num)
         
         combined_scanned_views_pts_mask = np.zeros(len(combined_scanned_views_pts), dtype=np.uint8)