{"url":"/task/infrared-image-super-resolution","name":"Infrared image super-resolution","slug":"infrared-image-super-resolution","description_markdown":"Aims at upsampling the IR image and create the high resolution image with help of a low resolution image.","categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":11,"papers_with_code":7,"benchmarks":2,"benchmark_tables_in_archive":2,"benchmark_tables_shown":2,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":2,"subtasks":0,"parent_tasks":0},"benchmarks":[{"leaderboard":"/sota/infrared-image-super-resolution-on-results-a","slug":"infrared-image-super-resolution-on-results-a","dataset":"results-A","dataset_url":"/dataset/results-a","rows_in_archive":1,"metrics":["Average PSNR"],"first_row_in_archive_order":{"model":"PSRGAN","paper_title":"Infrared Image Super-Resolution via Transfer Learning and PSRGAN","paper_url":"/paper/infrared-image-super-resolution-via-transfer","paper_date":"2021-05-06","arxiv_id":null,"code_links":[{"title":"yongsongH/Infrared_Image_SR_PSRGAN","url":"https://github.com/yongsongH/Infrared_Image_SR_PSRGAN"}],"syntology":null}},{"leaderboard":"/sota/infrared-image-super-resolution-on-results-c","slug":"infrared-image-super-resolution-on-results-c","dataset":"results-C","dataset_url":"/dataset/results-c","rows_in_archive":1,"metrics":["Average PSNR"],"first_row_in_archive_order":{"model":"PSRGAN","paper_title":"Infrared Image Super-Resolution via Transfer Learning and PSRGAN","paper_url":"/paper/infrared-image-super-resolution-via-transfer","paper_date":"2021-05-06","arxiv_id":null,"code_links":[{"title":"yongsongH/Infrared_Image_SR_PSRGAN","url":"https://github.com/yongsongH/Infrared_Image_SR_PSRGAN"}],"syntology":null}}],"datasets":[{"url":"/dataset/results-a","name":"results-A","full_name":"","num_papers_in_archive":1},{"url":"/dataset/results-c","name":"results-C","full_name":"","num_papers_in_archive":1}],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":7,"of":7,"tagged_in_all":11,"items":[{"url":"/paper/difiisr-a-diffusion-model-with-gradient","title":"DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution","date":"2025-03-03","arxiv_id":"2503.01187","repositories_listed":1,"syntology":{"n":5,"n_ran":1,"n_unverified":4,"n_pointer_only":0}},{"url":"/paper/contourlet-refinement-gate-framework-for","title":"Contourlet Refinement Gate Framework for Thermal Spectrum Distribution Regularized Infrared Image Super-Resolution","date":"2024-11-19","arxiv_id":"2411.12530","repositories_listed":1,"syntology":null},{"url":"/paper/irsrmamba-infrared-image-super-resolution-via","title":"IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model","date":"2024-05-16","arxiv_id":"2405.09873","repositories_listed":1,"syntology":{"n":15,"n_ran":10,"n_unverified":5,"n_pointer_only":0}},{"url":"/paper/lkformer-large-kernel-transformer-for","title":"LKFormer: Large Kernel Transformer for Infrared Image Super-Resolution","date":"2024-01-22","arxiv_id":"2401.11859","repositories_listed":1,"syntology":null},{"url":"/paper/target-oriented-domain-adaptation-for","title":"Texture and Noise Dual Adaptation for Infrared Image Super-Resolution","date":"2023-11-15","arxiv_id":"2311.08816","repositories_listed":1,"syntology":null},{"url":"/paper/infrared-image-super-resolution-systematic","title":"Infrared Image Super-Resolution: Systematic Review, and Future Trends","date":"2022-12-22","arxiv_id":"2212.12322","repositories_listed":1,"syntology":null},{"url":"/paper/infrared-image-super-resolution-via-transfer","title":"Infrared Image Super-Resolution via Transfer Learning and PSRGAN","date":"2021-05-06","arxiv_id":null,"repositories_listed":1,"syntology":null}],"syntology_records":2,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}