{"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/renoise-real-image-inversion-through","title":"ReNoise: Real Image Inversion Through Iterative Noising","arxiv_id":"2403.14602","date":"2024-03-21","proceeding":null,"authors":["Daniel Garibi","Or Patashnik","Andrey Voynov","Hadar Averbuch-Elor","Daniel Cohen-Or"],"abstract":"Recent advancements in text-guided diffusion models have unlocked powerful image manipulation capabilities. However, applying these methods to real images necessitates the inversion of the images into the domain of the pretrained diffusion model. Achieving faithful inversion remains a challenge, particularly for more recent models trained to generate images with a small number of denoising steps. In this work, we introduce an inversion method with a high quality-to-operation ratio, enhancing reconstruction accuracy without increasing the number of operations. Building on reversing the diffusion sampling process, our method employs an iterative renoising mechanism at each inversion sampling step. This mechanism refines the approximation of a predicted point along the forward diffusion trajectory, by iteratively applying the pretrained diffusion model, and averaging these predictions. We evaluate the performance of our ReNoise technique using various sampling algorithms and models, including recent accelerated diffusion models. Through comprehensive evaluations and comparisons, we show its effectiveness in terms of both accuracy and speed. Furthermore, we confirm that our method preserves editability by demonstrating text-driven image editing on real images.","url_abs":"https://arxiv.org/abs/2403.14602v1","url_pdf":"https://arxiv.org/pdf/2403.14602v1.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":"renoise-real-image-inversion-through","repo_url":"https://github.com/garibida/ReNoise-Inversion","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"denoising","task_name":"Denoising"},{"task_slug":"image-manipulation","task_name":"Image Manipulation"}],"methods":[{"method_slug":"diffusion","method_name":"Diffusion"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2403.14602","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.14602"}},"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/garibida/ReNoise-Inversion","reach":null}],"summary":{"ran":2,"ran_draft_wrong":3,"unverified":1},"by_repo_kind":{"listed":{"samples":6,"ran":5,"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":6,"samples":[{"code_sha256_prefix":"eba1cdeb422e3178","entry":"auto_corr_loss","repo":"garibida/ReNoise-Inversion","repo_kind":"listed","path":"src/renoise_inversion.py","file_url":"https://github.com/garibida/ReNoise-Inversion/blob/HEAD/src/renoise_inversion.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"eba1cdeb422e3178"}},{"code_sha256_prefix":"9163186c34e518d6","entry":"latents_kl_divergence","repo":"garibida/ReNoise-Inversion","repo_kind":"listed","path":"src/renoise_inversion.py","file_url":"https://github.com/garibida/ReNoise-Inversion/blob/HEAD/src/renoise_inversion.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"9163186c34e518d6"}},{"code_sha256_prefix":"17be0f655c51ce82","entry":"noise_regularization","repo":"garibida/ReNoise-Inversion","repo_kind":"listed","path":"src/renoise_inversion.py","file_url":"https://github.com/garibida/ReNoise-Inversion/blob/HEAD/src/renoise_inversion.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"17be0f655c51ce82"}},{"code_sha256_prefix":"e7ebb1753ecca4f4","entry":"patchify_latents_kl_divergence","repo":"garibida/ReNoise-Inversion","repo_kind":"listed","path":"src/renoise_inversion.py","file_url":"https://github.com/garibida/ReNoise-Inversion/blob/HEAD/src/renoise_inversion.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"e7ebb1753ecca4f4"}},{"code_sha256_prefix":"34b6cdebb4e13694","entry":"unet_pass","repo":"garibida/ReNoise-Inversion","repo_kind":"listed","path":"src/renoise_inversion.py","file_url":"https://github.com/garibida/ReNoise-Inversion/blob/HEAD/src/renoise_inversion.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"34b6cdebb4e13694"}},{"code_sha256_prefix":"c0dfd94032b69c07","entry":"inversion_step","repo":"garibida/ReNoise-Inversion","repo_kind":"listed","path":"src/renoise_inversion.py","file_url":"https://github.com/garibida/ReNoise-Inversion/blob/HEAD/src/renoise_inversion.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"c0dfd94032b69c07"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}