Generative Adversarial Networks
LipGAN
Introduced by R et al. in Towards Automatic Face-to-Face TranslationLipGAN is a generative adversarial network for generating realistic talking faces conditioned on translated speech. It employs an adversary that measures the extent of lip synchronization in the frames generated by the generator. The system is capable of handling faces in random poses without the need for realignment to a template pose. LipGAN is a fully self-supervised approach that learns a phoneme-viseme mapping, making it language independent.
Source: Towards Automatic Face-to-Face Translation
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Face to Face Translation | 1 | 20.00% |
| Machine Translation | 1 | 20.00% |
| Speech-to-Speech Translation | 1 | 20.00% |
| Translation | 1 | 20.00% |
| Unconstrained Lip-synchronization | 1 | 20.00% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
