ERIC-TUAN LE

We introduce StyleMorph, a 3D-aware generative model that disentangles 3D shape, camera pose, object appearance, and background appearance for high quality image synthesis. We chain 3D morphable modelling with deferred neural rendering by performing an implicit surface rendering of "Template Object Coordinates" (TOCS)... We introduce MeshPose, a method to jointly tackle the 2D DensePose (DP) and 3D Human Mesh Reconstruction (HMR) problems. We combine DensePose and HMR representations, losses, and datasets, resulting in a unified system that performs competitively on both tasks... We train deeper and more accurate point processing networks by introducing three modular point processing blocks that improve memory consumption and accuracy. By combining these blocks, we design wider and deeper point-based architectures.