Hand-Object Reconstruction research aims to understand and accurately reconstruct hand-object interaction, addressing challenges in diverse shape representation and occlusion. We introduce GAN-based inpainting on occluded regions in monocular RGB image, extracting features that model missing areas for precise surface prediction in the SDF Decoder, facilitating clear boundary distinction for detailed shape representation.