2 papers
cs.CV2024
Towards Robust 3D Pose Transfer with Adversarial Learning
Haoyu Chen, Hao Tang, Ehsan Adeli +1
3D pose transfer that aims to transfer the desired pose to a target mesh is one of the most challenging 3D generation tasks. Previous attempts rely on well-defined parametric human…
cs.CV2024
Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation
Hao Tang, Ling Shao, Nicu Sebe +1
We present a novel graph Transformer generative adversarial network (GTGAN) to learn effective graph node relations in an end-to-end fashion for challenging graph-constrained archi…