Methods › General › Diffusion Models › LSDM
Language-driven Scene Synthesis using Multi-conditional Diffusion Model
LSDM
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Our main contribution is the Guiding Points Network, where we integrate all information from the conditions to generate guiding points. By applying transformation matrices to scene entities (human/objects) with attention weighting, we can forecast the spanning of the target object.
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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Locating and Mitigating Gender Bias in Large Language Models 21 Mar 2024 · 0 repositories · arXiv:2403.14409
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 |
|---|---|
| Language Modelling | 1 |
| Large Language Model | 1 |
| Sentence | 1 |
| knowledge editing | 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