Image Generation Models
Make-A-Scene
Introduced by Gafni et al. in Make-A-Scene: Scene-Based Text-to-Image Generation with Human PriorsMake-A-Scene is a text-to-image method that (i) enables a simple control mechanism complementary to text in the form of a scene, (ii) introduces elements that improve the tokenization process by employing domain-specific knowledge over key image regions (faces and salient objects), and (iii) adapts classifier-free guidance for the transformer use case.
Source: Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Image Generation | 1 | 33.33% |
| Semantic Segmentation | 1 | 33.33% |
| Text-to-Image Generation | 1 | 33.33% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
