Methods › Computer Vision › Generative Video Models
Generative Video Models
Generative Models aim to model data generatively (rather than discriminatively), that is they aim to approximate the probability distribution of the data. Below you can find a continuously updating list of generative models for computer vision.
Methods
All 7 methods in this collection, most-tagged first. Year is the archive's introduced_year; the archive stores 2000 when it has none, shown here as “–”. Papers counts distinct papers the archive tags with the method. Click a heading to sort.
| TimeSformer | – | 18 |
| CVRL Contrastive Video Representation Learning | – | 3 |
| Dreamix Dreamix: video diffusion models are general video editors | – | 2 |
| ClipBERT | – | 1 |
| DVD-GAN | – | 1 |
| FuseFormer | – | 1 |
| ParamCrop | – | 1 |