diff --git a/docs.js b/docs.js
index 4a8d6f1..4c76386 100644
--- a/docs.js
+++ b/docs.js
@@ -123,7 +123,8 @@
       titleEn: "Convolution Vectorization",
       desc: "卷积向量化相关文档",
       descEn: "Convolution vectorization documentation",
-      markdownUrl: "docs/compiler/ConvolutionVectorization.md"
+      markdownUrl: "docs/compiler/ConvolutionVectorization.md",
+      bodyOnly: true
     },
     "triton-on-riscv": {
       title: "Triton 的 RISC-V 适配",
diff --git a/docs/compiler/ConvolutionVectorization-CoefficientsBroadcasting.png b/docs/compiler/ConvolutionVectorization-CoefficientsBroadcasting.png
new file mode 100644
index 0000000..b748c4d
Binary files /dev/null and b/docs/compiler/ConvolutionVectorization-CoefficientsBroadcasting.png differ
diff --git a/docs/compiler/ConvolutionVectorization.en.md b/docs/compiler/ConvolutionVectorization.en.md
index e9f5528..8f9e1eb 100644
--- a/docs/compiler/ConvolutionVectorization.en.md
+++ b/docs/compiler/ConvolutionVectorization.en.md
@@ -19,7 +19,7 @@ Let’s first introduce the MLIR dialects and operations that are needed by the
 - `vector.broadcast`: broadcasts a scalar or vector value to an n-D result vector.
 - `vector.fma`: performs fused multiply-add (FMA) on the vector type.
 
-![Graph of the Coefficients Broadcasting Algorithm](./Images/CoefficientsBroadcasting.png)
+![Graph of the Coefficients Broadcasting Algorithm](/docs/compiler/ConvolutionVectorization-CoefficientsBroadcasting.png)
 
 The figure shows the steps of the algorithm:
 - Iterate over each kernel element and broadcast it to vector1.
diff --git a/docs/compiler/ConvolutionVectorization.md b/docs/compiler/ConvolutionVectorization.md
index 8374624..7401a58 100644
--- a/docs/compiler/ConvolutionVectorization.md
+++ b/docs/compiler/ConvolutionVectorization.md
@@ -18,7 +18,7 @@
 - `vector.broadcast`：将标量或向量广播为 n 维结果向量。
 - `vector.fma`：执行向量融合乘加（FMA）运算。
 
-![Graph of the Coefficients Broadcasting Algorithm](./Images/CoefficientsBroadcasting.png)
+![Graph of the Coefficients Broadcasting Algorithm](/docs/compiler/ConvolutionVectorization-CoefficientsBroadcasting.png)
 
 上图展示了算法流程：