Mesh R-CNN is a research implementation published at ICCV 2019 that predicts 3D polygonal meshes for objects detected in 2D images. It extends object detection baselines by adding a mesh prediction head that voxelizes or estimates vertex positions to reconstruct object geometry. The implementation builds on Detectron2 for object detection and PyTorch3D for 3D operations and rendering.