diff --git a/CHANGELOG.md b/CHANGELOG.md
index 5b6015ae5c3..be963e690e2 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -15,7 +15,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ### Changed
 
 - Extend typing ([#330](https://github.com/PyTorchLightning/metrics/pull/330),
-    [#332](https://github.com/PyTorchLightning/metrics/pull/332))
+    [#332](https://github.com/PyTorchLightning/metrics/pull/332),
+    [#333](https://github.com/PyTorchLightning/metrics/pull/333))
 
 
 ### Deprecated
diff --git a/setup.cfg b/setup.cfg
index 2632b53c7a0..3f72b51364a 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -73,16 +73,6 @@ files = torchmetrics
 disallow_untyped_defs = True
 ignore_missing_imports = True
 
-# todo: add proper typing to this module...
-[mypy-torchmetrics.image.ssim]
-ignore_errors = True
-[mypy-torchmetrics.image.psnr]
-ignore_errors = True
-
 # todo: add proper typing to this module...
 [mypy-torchmetrics.classification.*]
 ignore_errors = True
-
-# todo: add proper typing to this module...
-[mypy-torchmetrics.regression.*]
-ignore_errors = True
diff --git a/torchmetrics/image/psnr.py b/torchmetrics/image/psnr.py
index 6f8d0625c5f..1f3501034f8 100644
--- a/torchmetrics/image/psnr.py
+++ b/torchmetrics/image/psnr.py
@@ -68,6 +68,8 @@ class PSNR(Metric):
         Half precision is only support on GPU for this metric
 
     """
+    min_target: Tensor
+    max_target: Tensor
 
     def __init__(
         self,
@@ -110,7 +112,7 @@ def __init__(
         self.reduction = reduction
         self.dim = tuple(dim) if isinstance(dim, Sequence) else dim
 
-    def update(self, preds: Tensor, target: Tensor) -> None:
+    def update(self, preds: Tensor, target: Tensor) -> None:  # type: ignore
         """
         Update state with predictions and targets.
 
@@ -131,7 +133,7 @@ def update(self, preds: Tensor, target: Tensor) -> None:
             self.sum_squared_error.append(sum_squared_error)
             self.total.append(n_obs)
 
-    def compute(self):
+    def compute(self) -> Tensor:
         """
         Compute peak signal-to-noise ratio over state.
         """
diff --git a/torchmetrics/image/ssim.py b/torchmetrics/image/ssim.py
index 5f8daa15135..df9c1973453 100644
--- a/torchmetrics/image/ssim.py
+++ b/torchmetrics/image/ssim.py
@@ -84,7 +84,7 @@ def __init__(
         self.k2 = k2
         self.reduction = reduction
 
-    def update(self, preds: Tensor, target: Tensor) -> None:
+    def update(self, preds: Tensor, target: Tensor) -> None:  # type: ignore
         """
         Update state with predictions and targets.
 
@@ -96,7 +96,7 @@ def update(self, preds: Tensor, target: Tensor) -> None:
         self.y_pred.append(preds)
         self.y.append(target)
 
-    def compute(self):
+    def compute(self) -> Tensor:
         """
         Computes explained variance over state.
         """
diff --git a/torchmetrics/regression/cosine_similarity.py b/torchmetrics/regression/cosine_similarity.py
index 43eddd715cb..3f2536694cf 100644
--- a/torchmetrics/regression/cosine_similarity.py
+++ b/torchmetrics/regression/cosine_similarity.py
@@ -80,7 +80,7 @@ def __init__(
         self.add_state("target", [], dist_reduce_fx="cat")
         self.reduction = reduction
 
-    def update(self, preds: Tensor, target: Tensor) -> None:
+    def update(self, preds: Tensor, target: Tensor) -> None:  # type: ignore
         """
         Update metric states with predictions and targets.
 
diff --git a/torchmetrics/regression/explained_variance.py b/torchmetrics/regression/explained_variance.py
index 3edcfa96008..633035468f6 100644
--- a/torchmetrics/regression/explained_variance.py
+++ b/torchmetrics/regression/explained_variance.py
@@ -77,6 +77,11 @@ class ExplainedVariance(Metric):
         >>> explained_variance(preds, target)
         tensor([0.9677, 1.0000])
     """
+    n_obs: Tensor
+    sum_error: Tensor
+    sum_squared_error: Tensor
+    sum_target: Tensor
+    sum_squared_target: Tensor
 
     def __init__(
         self,
@@ -97,14 +102,14 @@ def __init__(
             raise ValueError(
                 f"Invalid input to argument `multioutput`. Choose one of the following: {allowed_multioutput}"
             )
-        self.multioutput = multioutput
+        self.multioutput: str = multioutput
         self.add_state("sum_error", default=tensor(0.0), dist_reduce_fx="sum")
         self.add_state("sum_squared_error", default=tensor(0.0), dist_reduce_fx="sum")
         self.add_state("sum_target", default=tensor(0.0), dist_reduce_fx="sum")
         self.add_state("sum_squared_target", default=tensor(0.0), dist_reduce_fx="sum")
         self.add_state("n_obs", default=tensor(0.0), dist_reduce_fx="sum")
 
-    def update(self, preds: Tensor, target: Tensor) -> None:
+    def update(self, preds: Tensor, target: Tensor) -> None:  # type: ignore
         """
         Update state with predictions and targets.
 
diff --git a/torchmetrics/regression/mean_absolute_error.py b/torchmetrics/regression/mean_absolute_error.py
index 52c33016743..78b7cceddfa 100644
--- a/torchmetrics/regression/mean_absolute_error.py
+++ b/torchmetrics/regression/mean_absolute_error.py
@@ -66,7 +66,7 @@ def __init__(
         self.add_state("sum_abs_error", default=tensor(0.0), dist_reduce_fx="sum")
         self.add_state("total", default=tensor(0), dist_reduce_fx="sum")
 
-    def update(self, preds: Tensor, target: Tensor) -> None:
+    def update(self, preds: Tensor, target: Tensor) -> None:  # type: ignore
         """
         Update state with predictions and targets.
 
diff --git a/torchmetrics/regression/mean_absolute_percentage_error.py b/torchmetrics/regression/mean_absolute_percentage_error.py
index 381cac8d564..ade6c81100f 100644
--- a/torchmetrics/regression/mean_absolute_percentage_error.py
+++ b/torchmetrics/regression/mean_absolute_percentage_error.py
@@ -77,7 +77,7 @@ def __init__(
         self.add_state("sum_abs_per_error", default=tensor(0.0), dist_reduce_fx="sum")
         self.add_state("total", default=tensor(0.0), dist_reduce_fx="sum")
 
-    def update(self, preds: Tensor, target: Tensor) -> None:
+    def update(self, preds: Tensor, target: Tensor) -> None:  # type: ignore
         """
         Update state with predictions and targets.
 
diff --git a/torchmetrics/regression/mean_squared_error.py b/torchmetrics/regression/mean_squared_error.py
index 20b9eb475f1..94ead23e732 100644
--- a/torchmetrics/regression/mean_squared_error.py
+++ b/torchmetrics/regression/mean_squared_error.py
@@ -71,7 +71,7 @@ def __init__(
         self.add_state("total", default=tensor(0), dist_reduce_fx="sum")
         self.squared = squared
 
-    def update(self, preds: Tensor, target: Tensor) -> None:
+    def update(self, preds: Tensor, target: Tensor) -> None:  # type: ignore
         """
         Update state with predictions and targets.
 
diff --git a/torchmetrics/regression/mean_squared_log_error.py b/torchmetrics/regression/mean_squared_log_error.py
index 83ce30dd856..69ef426b7b6 100644
--- a/torchmetrics/regression/mean_squared_log_error.py
+++ b/torchmetrics/regression/mean_squared_log_error.py
@@ -72,7 +72,7 @@ def __init__(
         self.add_state("sum_squared_log_error", default=tensor(0.0), dist_reduce_fx="sum")
         self.add_state("total", default=tensor(0), dist_reduce_fx="sum")
 
-    def update(self, preds: Tensor, target: Tensor) -> None:
+    def update(self, preds: Tensor, target: Tensor) -> None:  # type: ignore
         """
         Update state with predictions and targets.
 
diff --git a/torchmetrics/regression/pearson.py b/torchmetrics/regression/pearson.py
index 3706f54982e..6028e023e96 100644
--- a/torchmetrics/regression/pearson.py
+++ b/torchmetrics/regression/pearson.py
@@ -77,7 +77,7 @@ def __init__(
         self.add_state("preds", default=[], dist_reduce_fx="cat")
         self.add_state("target", default=[], dist_reduce_fx="cat")
 
-    def update(self, preds: Tensor, target: Tensor) -> None:
+    def update(self, preds: Tensor, target: Tensor) -> None:  # type: ignore
         """
         Update state with predictions and targets.
 
diff --git a/torchmetrics/regression/r2score.py b/torchmetrics/regression/r2score.py
index 86d8d9ec3e3..fbb6371beb4 100644
--- a/torchmetrics/regression/r2score.py
+++ b/torchmetrics/regression/r2score.py
@@ -123,7 +123,7 @@ def __init__(
         self.add_state("residual", default=torch.zeros(self.num_outputs), dist_reduce_fx="sum")
         self.add_state("total", default=tensor(0), dist_reduce_fx="sum")
 
-    def update(self, preds: Tensor, target: Tensor) -> None:
+    def update(self, preds: Tensor, target: Tensor) -> None:  # type: ignore
         """
         Update state with predictions and targets.
 
diff --git a/torchmetrics/regression/spearman.py b/torchmetrics/regression/spearman.py
index 50178a42ead..3778e64125c 100644
--- a/torchmetrics/regression/spearman.py
+++ b/torchmetrics/regression/spearman.py
@@ -75,7 +75,7 @@ def __init__(
         self.add_state("preds", default=[], dist_reduce_fx="cat")
         self.add_state("target", default=[], dist_reduce_fx="cat")
 
-    def update(self, preds: Tensor, target: Tensor) -> None:
+    def update(self, preds: Tensor, target: Tensor) -> None:  # type: ignore
         """
         Update state with predictions and targets.