{"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/neurop-diff-continuous-remote-sensing-image","title":"NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion","arxiv_id":"2501.09054","date":"2025-01-15","proceeding":null,"authors":["Zihao Xu","Yuzhi Tang","Bowen Xu","Qingquan Li"],"abstract":"Most publicly accessible remote sensing data suffer from low resolution, limiting their practical applications. To address this, we propose a diffusion model guided by neural operators for continuous remote sensing image super-resolution (NeurOp-Diff). Neural operators are used to learn resolution representations at arbitrary scales, encoding low-resolution (LR) images into high-dimensional features, which are then used as prior conditions to guide the diffusion model for denoising. This effectively addresses the artifacts and excessive smoothing issues present in existing super-resolution (SR) methods, enabling the generation of high-quality, continuous super-resolution images. Specifically, we adjust the super-resolution scale by a scaling factor s, allowing the model to adapt to different super-resolution magnifications. Furthermore, experiments on multiple datasets demonstrate the effectiveness of NeurOp-Diff. Our code is available at https://github.com/zerono000/NeurOp-Diff.","url_abs":"https://arxiv.org/abs/2501.09054v2","url_pdf":"https://arxiv.org/pdf/2501.09054v2.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":"neurop-diff-continuous-remote-sensing-image","repo_url":"https://github.com/zerono000/neurop-diff","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"denoising","task_name":"Denoising"},{"task_slug":"image-super-resolution","task_name":"Image Super-Resolution"},{"task_slug":"super-resolution","task_name":"Super-Resolution"}],"methods":[{"method_slug":"diffusion","method_name":"Diffusion"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2501.09054","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2501.09054"}},"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":"deterministic:regex_extraction","url":"https://github.com/zerono000/NeurOp-Diff","reach":null}],"summary":{"ran":9},"by_repo_kind":{"official":{"samples":9,"ran":9,"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":9,"samples":[{"code_sha256_prefix":"ef9719744d2f0aca","entry":"Block","repo":"zerono000/NeurOp-Diff","repo_kind":"official","path":"models/diffusion.py","file_url":"https://github.com/zerono000/NeurOp-Diff/blob/HEAD/models/diffusion.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":"ef9719744d2f0aca"}},{"code_sha256_prefix":"527a7a3a5a9a53a1","entry":"Downsample","repo":"zerono000/NeurOp-Diff","repo_kind":"official","path":"models/diffusion.py","file_url":"https://github.com/zerono000/NeurOp-Diff/blob/HEAD/models/diffusion.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":"527a7a3a5a9a53a1"}},{"code_sha256_prefix":"61f66a959a9e39db","entry":"FeatureWiseAffine","repo":"zerono000/NeurOp-Diff","repo_kind":"official","path":"models/diffusion.py","file_url":"https://github.com/zerono000/NeurOp-Diff/blob/HEAD/models/diffusion.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"61f66a959a9e39db"}},{"code_sha256_prefix":"a1e44c37337ab3bf","entry":"PositionalEncoding","repo":"zerono000/NeurOp-Diff","repo_kind":"official","path":"models/diffusion.py","file_url":"https://github.com/zerono000/NeurOp-Diff/blob/HEAD/models/diffusion.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"a1e44c37337ab3bf"}},{"code_sha256_prefix":"94a85790900edbbd","entry":"ResnetBlocWithAttn","repo":"zerono000/NeurOp-Diff","repo_kind":"official","path":"models/diffusion.py","file_url":"https://github.com/zerono000/NeurOp-Diff/blob/HEAD/models/diffusion.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":"94a85790900edbbd"}},{"code_sha256_prefix":"973f65ebee1cf4e9","entry":"ResnetBlock","repo":"zerono000/NeurOp-Diff","repo_kind":"official","path":"models/diffusion.py","file_url":"https://github.com/zerono000/NeurOp-Diff/blob/HEAD/models/diffusion.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":"973f65ebee1cf4e9"}},{"code_sha256_prefix":"c8584d0a7fb92793","entry":"SelfAttention","repo":"zerono000/NeurOp-Diff","repo_kind":"official","path":"models/diffusion.py","file_url":"https://github.com/zerono000/NeurOp-Diff/blob/HEAD/models/diffusion.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"c8584d0a7fb92793"}},{"code_sha256_prefix":"9680ce4472992f4b","entry":"UNet","repo":"zerono000/NeurOp-Diff","repo_kind":"official","path":"models/diffusion.py","file_url":"https://github.com/zerono000/NeurOp-Diff/blob/HEAD/models/diffusion.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":"9680ce4472992f4b"}},{"code_sha256_prefix":"07244ed6f1e08f5a","entry":"Upsample","repo":"zerono000/NeurOp-Diff","repo_kind":"official","path":"models/diffusion.py","file_url":"https://github.com/zerono000/NeurOp-Diff/blob/HEAD/models/diffusion.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":"07244ed6f1e08f5a"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}