Marrying NeRF with Feature Matching for One-step Pose Estimation
Ronghan Chen,Yang Cong,Yu Ren,Ronghan Chen,Yang Cong,Yu Ren
Given the image collection of an object, we aim at building a real-time image-based pose estimation method, which requires neither its CAD model nor hours of object-specific training. Recent NeRF-based methods provide a promising solution by directly optimizing the pose from pixel loss between rendered and target images. However, during inference, they require long converging time, and suffer from...
