Methods › Computer Vision › Image Generation Models › Make-A-Scene
Make-A-Scene
Introduced by Oran Gafni et al. in Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Make-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.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors 24 Mar 2022 · 1 repository · arXiv:2203.13131Syntology ran 4 of 6 samples · 2 unverified
Tasks archive 2025-07-28
4 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Image Generation | 1 |
| Semantic Segmentation | 1 |
| Text to Image Generation | 1 |
| Text-to-Image Generation | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections