diff --git a/pytorch3d/implicitron/tools/eval_video_trajectory.py b/pytorch3d/implicitron/tools/eval_video_trajectory.py
index f46fe292..3556a305 100644
--- a/pytorch3d/implicitron/tools/eval_video_trajectory.py
+++ b/pytorch3d/implicitron/tools/eval_video_trajectory.py
@@ -182,10 +182,12 @@ def generate_eval_video_cameras(
         )
 
     test_cameras = PerspectiveCameras(
+        # pyrefly: ignore [bad-argument-type]
         focal_length=focal_length,
         principal_point=principal_point,
         R=R,
         T=T,
+        # pyrefly: ignore [missing-attribute]
         device=focal_length.device,
     )
 
diff --git a/pytorch3d/ops/points_alignment.py b/pytorch3d/ops/points_alignment.py
index 1ae50cdb..94db8687 100644
--- a/pytorch3d/ops/points_alignment.py
+++ b/pytorch3d/ops/points_alignment.py
@@ -340,8 +340,11 @@ def corresponding_points_alignment(
     total_weight = torch.clamp(num_points, 1)
     # special handling for heterogeneous point clouds and/or input weights
     if weights is not None:
+        # pyrefly: ignore [bad-index]
         Xc *= weights[:, :, None]
+        # pyrefly: ignore [bad-index]
         Yc *= weights[:, :, None]
+        # pyrefly: ignore [missing-attribute]
         total_weight = torch.clamp(weights.sum(1), eps)
 
     if (num_points < (dim + 1)).any():
diff --git a/pytorch3d/renderer/cameras.py b/pytorch3d/renderer/cameras.py
index 16e7a496..8039f0d4 100644
--- a/pytorch3d/renderer/cameras.py
+++ b/pytorch3d/renderer/cameras.py
@@ -427,9 +427,11 @@ class CamerasBase(TensorProperties):
         if isinstance(index, tensor_types["bool"]):
             #  LongTensor]` has no attribute `ndim`.
             #  LongTensor]` has no attribute `shape`.
+            # pyrefly: ignore [missing-attribute]
             if index.ndim != 1 or index.shape[0] != len(self):
                 raise ValueError(
                     #  LongTensor]` has no attribute `shape`.
+                    # pyrefly: ignore [missing-attribute]
                     f"Boolean index of shape {index.shape} does not match cameras"
                 )
         elif max(index) >= len(self):
@@ -1790,11 +1792,13 @@ def get_ndc_to_screen_transform(
         image_size = torch.tensor(image_size, device=cameras.device)
     # pyrefly: ignore [missing-attribute]
     image_size = image_size.view(-1, 2)  # of shape (1 or B)x2
+    # pyrefly: ignore [missing-attribute]
     height, width = image_size.unbind(1)
 
     # For non square images, we scale the points such that smallest side
     # has range [-1, 1] and the largest side has range [-u, u], with u > 1.
     # This convention is consistent with the PyTorch3D renderer
+    # pyrefly: ignore [missing-attribute]
     scale = (image_size.min(dim=1).values - 0.0) / 2.0
 
     K[:, 0, 0] = scale
diff --git a/pytorch3d/structures/meshes.py b/pytorch3d/structures/meshes.py
index 07acece0..d1f1c85e 100644
--- a/pytorch3d/structures/meshes.py
+++ b/pytorch3d/structures/meshes.py
@@ -510,7 +510,9 @@ class Meshes:
                 index = index.squeeze(1) if index.numel() > 0 else index
                 # pyrefly: ignore [missing-attribute]
                 index = index.tolist()
+            # pyrefly: ignore [not-iterable]
             verts = [self.verts_list()[i] for i in index]
+            # pyrefly: ignore [not-iterable]
             faces = [self.faces_list()[i] for i in index]
         else:
             raise IndexError(index)
diff --git a/pytorch3d/structures/pointclouds.py b/pytorch3d/structures/pointclouds.py
index 53ed5a51..16505e54 100644
--- a/pytorch3d/structures/pointclouds.py
+++ b/pytorch3d/structures/pointclouds.py
@@ -411,10 +411,13 @@ class Pointclouds:
                 index = index.squeeze(1) if index.numel() > 0 else index
                 # pyrefly: ignore [missing-attribute]
                 index = index.tolist()
+            # pyrefly: ignore [not-iterable]
             points = [self.points_list()[i] for i in index]
             if normals_list is not None:
+                # pyrefly: ignore [not-iterable]
                 normals = [normals_list[i] for i in index]
             if features_list is not None:
+                # pyrefly: ignore [not-iterable]
                 features = [features_list[i] for i in index]
         else:
             raise IndexError(index)