WAPR: A Foundation Model for Wide-Angle Refinement in Unseen Object Pose Estimation
Yulin Wang ⋅ Jianghao Zhou ⋅ Hongli Li ⋅ MENGTING HU ⋅ Chen LUO
Abstract
Real-world applications require 6D pose estimation to beaccurate, fast, and scalable to unseen objects. This paper introducesWAPR, a zero-shot wide-angle pose rex001Cnement model that rex001Cnes candi-date poses with rotational deviations up to 90^0013.Weather-ConditionedDepthAnything1490WeatherConditionedDepthAnythingECCV2026___C....abstract.txt
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