fdarmon / wild_deep_mvs Goto Github PK

Hi, thanks for a good work.
Could you provide your exact parameters for generating gt through fusing depth maps from IMC? I was fusing these scenes with parameters specified in paper "reprojection error below half a pixel and depth error below 1%", but the fusing result is not as good as the gt you provided. Thanks!

Hi there,

Thanks for the great work!

I'm trying to re-compute the metrics reported in Table 4 of your paper (prec., rec., f-score on YFCC evaluation) but there doesn't appear to be code in your repo for doing this. I have my own function for computing the metrics, but am a bit confused about setting a threshold.

First, do you have the thresholds you used for each YFCC scene stored anywhere? I tried using the values stored in the text files in yfcc_data/gt_resolution, but using your provided trained models with this threshold doesn't give me the same results you report in Table 4.

Second, is Eq. 7 in the paper correct? I understand the goal with Eq. 7, but shouldn't the distance argument be ||K^-1 (D(p)p) - K^-1 (D(p')p')||. This way, you find the median distance in scene space between back-projected points 2 pixels away from each other. Is this perhaps what you used or did you use Eq. 7 as is?

Thanks!
Alex

Hi, thank you for sharing both the paper and the code. I'm working on something similar, so I was very happy to read your results.

I would like to ask if you ever considered urban datasets in your evaluation, especially multi-camera datasets such as nuScenes or DDAD. I'm asking this for two main reasons:

1. Internet data are surely "in the wild", but they mostly focus on a single giant object (i.e. a building) in the image, for which a lot of diverse views can be captured. On the other hand, urban data have no clear subject, a lot of dynamic objects and several textureless areas to deal with, which is definitely an even harder test for MVS networks.
2. MVS networks cannot be trained in a supervised way on urban data, therefore your insights on unsupervised methods might be interesting to be validated also on these kind of data.

What are your thoughts on this?

hello, I find that the download link of BlendedMVS has expired, can you provide a new one? thanks very much