diff --git a/tmva/sofie/inc/TMVA/ROperator_Conv.hxx b/tmva/sofie/inc/TMVA/ROperator_Conv.hxx
index 78c1dcebc8030..4e2e90cbc130c 100644
--- a/tmva/sofie/inc/TMVA/ROperator_Conv.hxx
+++ b/tmva/sofie/inc/TMVA/ROperator_Conv.hxx
@@ -429,6 +429,10 @@ public:
       out << SP << SP << "}\n";
       out << SP << "}\n";
 
+      // Dilation is already folded into the expanded kernel shape and the dilated tensor_<X>_f
+      // layout above, so the dense im2col below must use dilation 1 to avoid double-counting it.
+      fAttrDilations = std::vector<size_t>(3, 1);
+
       //out << SP << "char " << OpName << "_transA = 'T';\n";
       out << SP << "char " << OpName << "_transA = 'N';\n";
       out << SP << "char " << OpName << "_transB = 'N';\n";
diff --git a/tmva/sofie/test/TestCustomModelsFromONNX.cxx b/tmva/sofie/test/TestCustomModelsFromONNX.cxx
index b9857830820ac..33eb135bcdbd7 100644
--- a/tmva/sofie/test/TestCustomModelsFromONNX.cxx
+++ b/tmva/sofie/test/TestCustomModelsFromONNX.cxx
@@ -22,6 +22,7 @@ constexpr auto modelDataSuffix = "_FromONNX.dat";
 #include "input_models/references/Erf.ref.hxx"
 #include "input_models/references/LinearWithSigmoid.ref.hxx"
 #include "input_models/references/ConvWithPadding.ref.hxx"
+#include "input_models/references/ConvWithDilation.ref.hxx"
 #include "input_models/references/ConvWithoutPadding.ref.hxx"
 #include "input_models/references/ConvWithAutopadSameLower.ref.hxx"
 #include "input_models/references/ConvWithAutopadSameUpper.ref.hxx"
@@ -726,6 +727,27 @@ TEST(ONNX, ConvWithStridesPadding)
 }
 
 
+TEST(ONNX, ConvWithDilation)
+{
+   constexpr float TOLERANCE = DEFAULT_TOLERANCE;
+
+   // Preparing the standard all-ones input
+   std::vector<float> input(49);
+   std::iota(input.begin(), input.end(), 0.0f);
+   ASSERT_INCLUDE_AND_RUN(std::vector<float>, "ConvWithDilation", input);
+
+   // Checking output size
+   EXPECT_EQ(output.size(), std::size(ConvWithDilation_ExpectedOutput::all_ones));
+
+   float *correct = ConvWithDilation_ExpectedOutput::all_ones;
+
+   // Checking every output value, one by one
+   for (size_t i = 0; i < output.size(); ++i) {
+      EXPECT_LE(std::abs(output[i] - correct[i]), TOLERANCE);
+   }
+}
+
+
 TEST(ONNX, ConvWithStridesNoPadding)
 {
    constexpr float TOLERANCE = DEFAULT_TOLERANCE;
diff --git a/tmva/sofie/test/input_models/ConvWithDilation.onnx b/tmva/sofie/test/input_models/ConvWithDilation.onnx
new file mode 100644
index 0000000000000..c49707afa5be0
Binary files /dev/null and b/tmva/sofie/test/input_models/ConvWithDilation.onnx differ
diff --git a/tmva/sofie/test/input_models/references/ConvWithDilation.ref.hxx b/tmva/sofie/test/input_models/references/ConvWithDilation.ref.hxx
new file mode 100644
index 0000000000000..76559a18954bc
--- /dev/null
+++ b/tmva/sofie/test/input_models/references/ConvWithDilation.ref.hxx
@@ -0,0 +1,3 @@
+namespace ConvWithDilation_ExpectedOutput {
+float all_ones[] = {98.400002f, 102.900009f, 107.400002f, 129.899994f, 134.399994f, 138.899994f, 161.399994f, 165.899994f, 170.399994f};
+} // namespace ConvWithDilation_ExpectedOutput