DLGAN: Depth-Preserving Latent Generative Adversarial Network for 3D Reconstruction.
Caixia LiuDehui KongShaofan WangJinghua LiBaocai YinPublished in: IEEE Trans. Multim. (2021)
Keyphrases
- computer networks
- network design
- peer to peer
- complex networks
- network traffic
- wireless sensor networks
- data driven
- generative model
- network resources
- network management
- network architecture
- network model
- depth information
- latent variables
- network structure
- communication networks
- unsupervised learning
- multi agent
- three dimensional
- computer vision
- real time