Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020
Do you tried downsampling the mesh to a smaller one (e.g. maybe 1000 vertices) and then train the network? Maybe this can reduce the redundancy and train faster. How about the performance?
@mks0601
Do you tried downsampling the mesh to a smaller one (e.g. maybe 1000 vertices) and then train the network? Maybe this can reduce the redundancy and train faster. How about the performance?