zju3dv/LoFTR
LoFTR uses a transformer architecture to match local features between image pairs for pose estimation and 3D vision tasks.

Velocity · 7d
+1.5
★ / day
Trend
→steady
star history
LoFTR implements a detector-free approach to local feature matching using transformer networks. Rather than relying on traditional feature detectors, it processes images jointly through a transformer to establish correspondences between image pairs. The method demonstrates strong performance on pose estimation benchmarks and has been integrated with Huggingface Spaces for accessibility.