{"url":"/method/spatial-propagation","slug":"spatial-propagation","name":"Spatial Propagation","full_name":"Surface Nomral-based Spatial Propagation","full_name_withheld":false,"description_markdown":"Inspired by the spatial propagation mechanism utilized in the depth completion task \\cite{NLSPN}, we introduce a normal incorporated non-local disparity propagation module in which we hub NDP to generate non-local affinities and offsets for spatial propagation at the disparity level. The motivation lies that the sampled pixels for edges and occluded regions are supposed to be selected. The propagation process aggregates disparities via plane affinity relations, which alleviates the phenomenon of disparity blurring at object edges due to frontal parallel windows. And the disparities in occluded areas are also optimized at the same time by being propagated from non-occluded areas where the predicted disparities are with high confidence.","description_state":"present","introduced_year":null,"introduced_by":{"title":null,"paper":null,"first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":null},"source":{"url":null,"title":null,"url_on_a_paper_host":false},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Stereo Depth Estimation Models","url":"/methods/category/stereo-depth-estimation-models","pwc_aliases":[]}],"n_papers_tagged":16,"archive_num_papers":16,"papers_newest_first":[{"paper":null,"title":"Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing","date":"2025-06-25","arxiv_id":"2506.20782","n_code_links":0,"syntology":null},{"paper":null,"title":"DenseFormer: Learning Dense Depth Map from Sparse Depth and Image via Conditional Diffusion Model","date":"2025-03-31","arxiv_id":"2503.23993","n_code_links":0,"syntology":null},{"paper":null,"title":"Parallel Sequence Modeling via Generalized Spatial Propagation Network","date":"2025-01-21","arxiv_id":"2501.12381","n_code_links":0,"syntology":null},{"paper":"/paper/real-time-localization-and-bimodal-point","title":"Real-Time Localization and Bimodal Point Pattern Analysis of Palms Using UAV Imagery","date":"2024-10-14","arxiv_id":"2410.11124","n_code_links":1,"syntology":null},{"paper":null,"title":"Angular Spread Statistics for 6.75 GHz FR1(C) and 16.95 GHz FR3 Mid-Band Frequencies in an Indoor Hotspot Environment","date":"2024-09-04","arxiv_id":"2409.03013","n_code_links":0,"syntology":null},{"paper":null,"title":"On the dynamics of convolutional recurrent neural networks near their critical 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Windows PatchMatch and Planar Prior Multi-View Stereo","date":"2023-09-23","arxiv_id":"2309.13294","n_code_links":1,"syntology":null},{"paper":null,"title":"RigNet++: Semantic Assisted Repetitive Image Guided Network for Depth Completion","date":"2023-09-01","arxiv_id":"2309.00655","n_code_links":0,"syntology":null},{"paper":"/paper/revisiting-deformable-convolution-for-depth","title":"Revisiting Deformable Convolution for Depth Completion","date":"2023-08-03","arxiv_id":"2308.01905","n_code_links":2,"syntology":null},{"paper":null,"title":"BEV@DC: Bird's-Eye View Assisted Training for Depth Completion","date":"2023-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"title":"Robust Sum-Rate Maximization in Transmissive RMS Transceiver-Enabled SWIPT Networks","date":"2022-12-10","arxiv_id":"2212.05288","n_code_links":0,"syntology":null},{"paper":"/paper/graphcspn-geometry-aware-depth-completion-via","title":"GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs","date":"2022-10-19","arxiv_id":"2210.10758","n_code_links":1,"syntology":null}],"papers_shown":16,"tasks":[{"task":"/task/depth-completion","name":"Depth Completion","papers":8},{"task":"/task/autonomous-driving","name":"Autonomous Driving","papers":4},{"task":"/task/16k","name":"16k","papers":1},{"task":"/task/3d-reconstruction","name":"3D Reconstruction","papers":1},{"task":"/task/3d-geometry","name":"3D geometry","papers":1},{"task":"/task/computational-efficiency","name":"Computational Efficiency","papers":1},{"task":"/task/denoising","name":"Denoising","papers":1},{"task":"/task/depth-estimation","name":"Depth Estimation","papers":1},{"task":"/task/depth-prediction","name":"Depth Prediction","papers":1},{"task":"/task/disparity-estimation","name":"Disparity Estimation","papers":1},{"task":"/task/earth-observation","name":"Earth Observation","papers":1},{"task":"/task/image-generation","name":"Image 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