iNeRF: Inverting Neural Radiance Fields for Pose Estimation
Lin Yen-Chen,Pete Florence,Jonathan T. Barron,Alberto Rodriguez,Phillip Isola,Tsung-Yi Lin,Lin Yen-Chen,Pete Florence,Jonathan T. Barron,Alberto Rodriguez,Phillip Isola,Tsung-Yi Lin
We present iNeRF, a framework that performs mesh-free pose estimation by "inverting" a Neural Radiance Field (NeRF). NeRFs have been shown to be remarkably effective for the task of view synthesis — synthesizing photorealistic novel views of real-world scenes or objects. In this work, we investigate whether we can apply analysis-by-synthesis via NeRF for mesh-free, RGB-only 6DoF pose estimation – ...
