Lune

CVPR2023Top-tier venue

AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training

Yifan Jiang, Peter Hedman, Ben Mildenhall, Dejia Xu, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue

2023Year
12Top-tier citations

Abstract

Our AligNeRF Ground Truth (Warped) w/ Alignment-aware Training w/o Alignment-aware Training Estimated Optical Flow

Figure 1. Left: Images rendered by mip-NeRF 360 [2] (w/o alignment-aware training) and our AligNeRF (w/ alignment-aware training), with the same amount of training time for both methods. Middle: Magnified cropped regions. Here, the ground truth has been aligned with the mip-NeRF 360 rendering, as described in Sec. 4.3. Right: Visualization of misalignment. This is the estimated optical flow between the mip-NeRF 360 rendering and the original ground truth images.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext fcaf0af0-0712-4536-a33a-85763f38e6bc

Cited by top-tier papers12

Ask how each one uses it

Builds on22

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines