Lune

CVPR2023顶会

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

2023年份
12顶会引用

摘要

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.

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。

可以从这些问题问起

智能体调用

Luneget_paper_fulltext

在 Lune 里问

免费开始,无需绑卡

引用它的顶会 Paper12

问问它们各自怎么用它

它引用的顶会 Paper22

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖