PyTorch implementation of Intrinsic-Extrinsic Preserved Generative Adversarial Network (IEP-GAN) for both intrinsic (i.e., shape) and extrinsic (i.e., pose) information preservation. Extrinsically, a co-occurrence discriminator is used to capture the stru... read more of IEP-GAN: Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer

PyTorch implementation of a Geometry-Contrastive Transformer for Generalized 3D Pose Transfer. The novel GC-Transformer can freely conduct robust pose transfer on LARGE meshes at no cost, which could be a boost to Transformers in 3D fields. read more of CGTransformer

3D orientation estimation algorithm integrated in a full 6D pose estimation pipeline. read more of Augmented Autoencoder