{"url":"/method/lsdm-1","slug":"lsdm-1","name":"LSDM","full_name":"Language-driven Scene Synthesis using Multi-conditional Diffusion Model","full_name_withheld":false,"description_markdown":"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.","description_state":"present","introduced_year":null,"introduced_by":{"title":null,"paper":null,"first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":null},"source":{"url":null,"title":null,"url_on_a_paper_host":false},"code_snippet_url":"https://github.com/andvg3/LSDM","code_snippet_url_on_a_code_host":true,"categories":[{"area":"General","area_id":"general","collection":"Diffusion Models","url":"/methods/category/diffusion-models","pwc_aliases":[]},{"area":"Computer Vision","area_id":"computer-vision","collection":"3D Representations","url":"/methods/category/3d-representations","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":null,"title":"Locating and Mitigating Gender Bias in Large Language Models","date":"2024-03-21","arxiv_id":"2403.14409","n_code_links":0,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/language-modelling","name":"Language Modelling","papers":1},{"task":"/task/large-language-model","name":"Large Language Model","papers":1},{"task":"/task/sentence","name":"Sentence","papers":1},{"task":"/task/knowledge-editing","name":"knowledge editing","papers":1}],"tasks_shown":4,"n_tasks":4,"usage_by_year":[{"year":"2024","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/lsdm-1"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}