4 papers
Delineate Anything Flow: Fast, Country-Level Field Boundary Detection from Any Source
Mykola Lavreniuk, Nataliia Kussul, Andrii Shelestov +4
Accurate delineation of agricultural field boundaries from satellite imagery is essential for land management and crop monitoring, yet existing methods often produce incomplete bou…
Any Resolution Any Geometry: From Multi-View To Multi-Patch
Wenqing Cui, Zhenyu Li, Mykola Lavreniuk +4
Joint estimation of surface normals and depth is essential for holistic 3D scene understanding, yet high-resolution prediction remains difficult due to the trade-off between preser…
Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery
Mykola Lavreniuk, Nataliia Kussul, Andrii Shelestov +4
The accurate delineation of agricultural field boundaries from satellite imagery is vital for land management and crop monitoring. However, current methods face challenges due to l…
Amodal Depth Anything: Amodal Depth Estimation in the Wild
Zhenyu Li, Mykola Lavreniuk, Jian Shi +2
Amodal depth estimation aims to predict the depth of occluded (invisible) parts of objects in a scene. This task addresses the question of whether models can effectively perceive t…