most citedBID-NeRF: RGB-D image pose estimation with inverted Neural Radiance Fields

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023

Targeted Adversarial Attacks on Generalizable Neural Radiance Fields

Andras Horvath, Csaba M. Jozsa

Neural Radiance Fields (NeRFs) have recently emerged as a powerful tool for 3D scene representation and rendering. These data-driven models can learn to synthesize high-quality ima…

cs.CV2023★ 3 cited

BID-NeRF: RGB-D image pose estimation with inverted Neural Radiance Fields

Ágoston István Csehi, Csaba Máté Józsa

We aim to improve the Inverted Neural Radiance Fields (iNeRF) algorithm which defines the image pose estimation problem as a NeRF based iterative linear optimization. NeRFs are nov…