continuous_view_synthesis

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您好，非常感谢您的杰出贡献！我想请教一下，我看论文中写道是：通过透视投影从解码器所预测的深度图Dt来得到 dense backward flow map Ct→s，这个过程好像需要camera intrinsic matrix K，请问这个K是怎么得到以及确定的呢？如果换一个数据集，这个K不需要作出任何改变吗？如何根据数据集来进行改变呢？（我看代码中的kitti数据集与car数据集的intrinsics就是不一样的矩阵） 真心期待得到您的解答！

emmm803

Thanks to the open source code, I have some questions about the demo test. When I use demo_kitti.py , the value of event.xdata will show None while the mouse is...

huang1030

KITTI data

1

Question - What actually are the first three values in each entry in `poses.txt`? According to the official repo (https://github.com/bostondiditeam/kitti/blob/master/Papers_Summary/Geiger2013IJRR/readme.md), KITTI odometry has 7 values (the first three being box...

LAnastasiia

Hi,could you explain why the relative pose is calculated as RA.T@RB and T = RA.T.dot(TB-TA)/50 when processing the kitti dataset? i got the wrong result with other calculation formulas. thank...

ozhyo

hi, thank your great work, can you upload the evaluation code? thanks.

yongwuML

there is a request about the dataset of car, would you like to tell me the number of epoch about car dataset? thank you.

liustu

txt request

2

I have studied your article named recently. Could you please provide TXT files of training data and test data.Thanks for your reply.

liustu

Bumps [torch](https://github.com/pytorch/pytorch) from 1.1.0 to 2.2.0. Release notes Sourced from torch's releases. PyTorch 2.2: FlashAttention-v2, AOTInductor PyTorch 2.2 Release Notes Highlights Backwards Incompatible Changes Deprecations New Features Improvements Bug fixes...

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