{"url":"/task/depth-map-super-resolution","name":"Depth Map Super-Resolution","slug":"depth-map-super-resolution","description_markdown":"Depth map super-resolution is the task of upsampling depth images.\r\n\r\n<span style=\"color:grey; opacity: 0.6\">( Image credit: [A Joint Intensity and Depth Co-Sparse Analysis Model\r\nfor Depth Map Super-Resolution](https://arxiv.org/pdf/1304.5319v1.pdf) )</span>","categories":[{"name":"Computer Vision","url":"/area/computer-vision"},{"name":"Graphs","url":"/area/graphs"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":28,"papers_with_code":11,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"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":2},"benchmarks":[],"datasets":[{"url":"/dataset/rgb-d-d","name":"RGB-D-D","full_name":"","num_papers_in_archive":11},{"url":"/dataset/middlebury-2005","name":"Middlebury 2005","full_name":"Middlebury 2005","num_papers_in_archive":9}],"subtasks":[],"parent_tasks":[{"url":"/task/depth-estimation","name":"Depth Estimation"},{"url":"/task/super-resolution","name":"Super-Resolution"}],"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":11,"of":11,"tagged_in_all":28,"items":[{"url":"/paper/discrete-cosine-transform-network-for-guided","title":"Discrete Cosine Transform Network for Guided Depth Map Super-Resolution","date":"2021-04-14","arxiv_id":"2104.06977","repositories_listed":2,"syntology":null},{"url":"/paper/deformable-kernel-networks-for-joint-image","title":"Deformable Kernel Networks for Joint Image Filtering","date":"2019-10-17","arxiv_id":"1910.08373","repositories_listed":2,"syntology":null},{"url":"/paper/decoupling-fine-detail-and-global-geometry","title":"Decoupling Fine Detail and Global Geometry for Compressed Depth Map Super-Resolution","date":"2024-11-05","arxiv_id":"2411.03239","repositories_listed":1,"syntology":null},{"url":"/paper/sgnet-structure-guided-network-via-gradient","title":"SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-Resolution","date":"2023-12-10","arxiv_id":"2312.05799","repositories_listed":1,"syntology":null},{"url":"/paper/guided-depth-map-super-resolution-a-survey","title":"Guided Depth Map Super-resolution: A Survey","date":"2023-02-19","arxiv_id":"2302.09598","repositories_listed":1,"syntology":null},{"url":"/paper/learning-continuous-depth-representation-via","title":"Learning Continuous Depth Representation via Geometric Spatial Aggregator","date":"2022-12-07","arxiv_id":"2212.03499","repositories_listed":1,"syntology":null},{"url":"/paper/deep-attentional-guided-image-filtering","title":"Deep Attentional Guided Image Filtering","date":"2021-12-13","arxiv_id":"2112.06401","repositories_listed":1,"syntology":null},{"url":"/paper/towards-unpaired-depth-enhancement-and-super","title":"Unpaired Depth Super-Resolution in the Wild","date":"2021-05-25","arxiv_id":"2105.12038","repositories_listed":1,"syntology":null},{"url":"/paper/towards-fast-and-accurate-real-world-depth","title":"Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline","date":"2021-04-13","arxiv_id":"2104.06174","repositories_listed":1,"syntology":null},{"url":"/paper/high-resolution-depth-maps-imaging-via","title":"High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion","date":"2021-04-04","arxiv_id":"2104.01530","repositories_listed":1,"syntology":null},{"url":"/paper/inferring-super-resolution-depth-from-a","title":"Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach","date":"2019-12-13","arxiv_id":"1912.06501","repositories_listed":1,"syntology":null}],"syntology_records":0,"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":"2026-09-25T09:33:49+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"}}