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Hi! Thanks for your great job again! It is really a cool idea to integrate the semantic in the nerf model. And I meet some trouble in the visualization, I can train perfectly now on my computer, but w…
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Hi, thanks for the great work!
It seems that semantic-nerf doesn't seem to use NDC space, I want to know why?
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Currently looking at the use of semantic segmentation - there seems to not really be a good use case to split the segmentation into thing / stuff classes. And Given the assumption that a 3d point can …
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Hello!
Thank you a lot for your great work!
I am planning to use your method for robotic application and I have a question. Do you have any guide how to prepare my own data for training and renderin…
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appreciating your excellent work !!!
I want to follow your work, but when I used your most recent code in the replica room_0, I discovered that the void class could not display in the image,but the g…
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Great work! Record3d generate aligned depth images. Can you update a depth supervision feature with captured depth images for better results?
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# 【PaddlePaddle Hackathon 4】模型套件开源贡献任务合集
（此 ISSUE 为 PaddlePaddle Hackathon 第四期活动的任务 ISSUE，更多详见 [【PaddlePaddle Hackathon 第四期】任务总览](https://github.com/PaddlePaddle/Paddle/issues/50629)）
注：开发请参考 [贡…
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Hello,
It seems that
You sampled 64 points for 5 different categories during data set preprocessing, but in fact, the semantic segmentation in Bev is a dense prediction task. For example, in a rang…
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Hi, according to your code the original nerf training process, one would randomly choose a batch of rays (say 1024) in the training process and compare this to the ground truth pixel-wise values of th…
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Quality of DSMs generated using Sat-NeRF is pretty bad when it comes to water areas, any solution to such problem and what might be the reason that cause this error ?