{"url":"/method/ilvr","slug":"ilvr","name":"ILVR","full_name":"Iterative Latent Variable Refinement","full_name_withheld":false,"description_markdown":"**Iterative Latent Variable Refinement**, or **ILVR**, is a method to guide the generative process in denoising diffusion probabilistic models (DDPMs) to generate high-quality images based on a given reference image. ILVR conditions the generation process in well-performing unconditional DDPM. Each transition in the generation process is refined utilizing a given reference image. By matching each latent variable, ILVR ensures the given condition in each transition thus enables sampling from a conditional distribution. Thus, ILVR generates high-quality images sharing desired semantics.","description_state":"present","introduced_year":null,"introduced_by":{"title":"ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models","paper":"/paper/ilvr-conditioning-method-for-denoising","first_author":"Jooyoung Choi","n_authors":5,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/ilvr-conditioning-method-for-denoising"},"source":{"url":"https://arxiv.org/abs/2108.02938v2","title":"ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Generative Training","url":"/methods/category/generative-training","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/ilvr-conditioning-method-for-denoising","title":"ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models","date":"2021-08-06","arxiv_id":"2108.02938","n_code_links":1,"syntology":{"ran":2,"of":2,"unverified":0,"pointer_only":2}}],"papers_shown":1,"tasks":[{"task":"/task/denoising","name":"Denoising","papers":1},{"task":"/task/image-generation","name":"Image Generation","papers":1},{"task":"/task/translation","name":"Translation","papers":1},{"task":"/task/unconditional-image-generation","name":"Unconditional Image Generation","papers":1}],"tasks_shown":4,"n_tasks":4,"usage_by_year":[{"year":"2021","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/ilvr"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}