{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/an-edit-friendly-ddpm-noise-space-inversion","title":"An Edit Friendly DDPM Noise Space: Inversion and Manipulations","arxiv_id":"2304.06140","date":"2023-04-12","proceeding":"CVPR 2024 1","authors":["Inbar Huberman-Spiegelglas","Vladimir Kulikov","Tomer Michaeli"],"abstract":"Denoising diffusion probabilistic models (DDPMs) employ a sequence of white Gaussian noise samples to generate an image. In analogy with GANs, those noise maps could be considered as the latent code associated with the generated image. However, this native noise space does not possess a convenient structure, and is thus challenging to work with in editing tasks. Here, we propose an alternative latent noise space for DDPM that enables a wide range of editing operations via simple means, and present an inversion method for extracting these edit-friendly noise maps for any given image (real or synthetically generated). As opposed to the native DDPM noise space, the edit-friendly noise maps do not have a standard normal distribution and are not statistically independent across timesteps. However, they allow perfect reconstruction of any desired image, and simple transformations on them translate into meaningful manipulations of the output image (e.g. shifting, color edits). Moreover, in text-conditional models, fixing those noise maps while changing the text prompt, modifies semantics while retaining structure. We illustrate how this property enables text-based editing of real images via the diverse DDPM sampling scheme (in contrast to the popular non-diverse DDIM inversion). We also show how it can be used within existing diffusion-based editing methods to improve their quality and diversity. Webpage: https://inbarhub.github.io/DDPM_inversion","url_abs":"https://arxiv.org/abs/2304.06140v3","url_pdf":"https://arxiv.org/pdf/2304.06140v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"an-edit-friendly-ddpm-noise-space-inversion","repo_url":"https://github.com/inbarhub/ddpm_inversion","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"an-edit-friendly-ddpm-noise-space-inversion","repo_url":"https://github.com/phymhan/prompt-to-prompt","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"denoising","task_name":"Denoising"}],"methods":[{"method_slug":"diffusion","method_name":"Diffusion"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=2304.06140","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2304.06140"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/inbarhub/ddpm_inversion","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/phymhan/prompt-to-prompt","reach":null}],"summary":{"ran_honours":2,"ran_draft_wrong":2},"by_repo_kind":{"official":{"samples":3,"ran":3,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":1,"samples":[{"code_sha256_prefix":"e151ef7384cb586b","entry":"aggregate_attention","repo":"inbarhub/ddpm_inversion","repo_kind":"official","path":"prompt_to_prompt/ptp_classes.py","file_url":"https://github.com/inbarhub/ddpm_inversion/blob/HEAD/prompt_to_prompt/ptp_classes.py","link_basis":"first_harvest_node","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e151ef7384cb586b"}},{"code_sha256_prefix":"8b17adfc032f84aa","entry":"get_noise_pred","repo":"inbarhub/ddpm_inversion","repo_kind":"official","path":"ddm_inversion/ddim_inversion.py","file_url":"https://github.com/inbarhub/ddpm_inversion/blob/HEAD/ddm_inversion/ddim_inversion.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"8b17adfc032f84aa"}},{"code_sha256_prefix":"0230471a58926463","entry":"load_512","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"0230471a58926463"}},{"code_sha256_prefix":"ca2409fb3e38f775","entry":"next_step","repo":"inbarhub/ddpm_inversion","repo_kind":"official","path":"ddm_inversion/ddim_inversion.py","file_url":"https://github.com/inbarhub/ddpm_inversion/blob/HEAD/ddm_inversion/ddim_inversion.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"ca2409fb3e38f775"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}