Comments (8)
instant-ngp in my work is just a accelerate tool and i did not break the framework,all things works fine(in my opinion...)
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Will you be able to render the test images or training images, i.e. in observation space? are they looks good? what colors are rendered for the human part?
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oh! I realized that the tensorboard result is rendered by only a few input images.
I got a better result after 4500 iters:
And i will try to render another result in tensorboard that using more input images.
Thanks for your rapid reply!
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instant-ngp 在我的工作中只是一个加速工具,我没有破坏框架,一切都很好(在我看来......)
How to use instant-ngp to speed up, I also want to train quickly.
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instant-ngp 在我的工作中只是一个加速工具,我没有破坏框架,一切都很好(在我看来......)
How to use instant-ngp to speed up, I also want to train quickly.
先安装好tiny-cuda-nn:https://github.com/NVlabs/tiny-cuda-nn
这是instant-ngp的底层实施框架,提供了一些pytorch的接口,你可以去读一下项目的文档,也有一个demo可以参考
接下来你需要通读instant-NGP文章的appendix,了解用instant-ngp来实现nerf的结构和参数是怎么样的,最后先搭建一个你自己的nerf demo,最后就可以尝试去修改neuman的网络结构了。
我最后实现的效果并不是很好,我想可能存在一些原理层面的冲突(也可能有bug)。
from ml-neuman.
instant-ngp 在我的工作中只是一个加速工具,我没有破坏框架,一切都很好(在我看来......)
How to use instant-ngp to speed up, I also want to train quickly.
先安装好tiny-cuda-nn:https://github.com/NVlabs/tiny-cuda-nn 这是instant-ngp的底层实施框架,提供了一些pytorch的接口,你可以去读一下项目的文档,也有一个demo可以参考 接下来你需要通读instant-NGP文章的appendix,了解用instant-ngp来实现nerf的结构和参数是怎么样的,最后先搭建一个你自己的nerf demo,最后就可以尝试去修改neuman的网络结构了。 我最后实现的效果并不是很好,我想可能存在一些原理层面的冲突(也可能有bug)。
instant-ngp 在我的工作中只是一个加速工具,我没有破坏框架,一切都很好(在我看来......)
How to use instant-ngp to speed up, I also want to train quickly.
先安装好tiny-cuda-nn:https://github.com/NVlabs/tiny-cuda-nn 这是instant-ngp的底层实施框架,提供了一些pytorch的接口,你可以去读一下项目的文档,也有一个demo可以参考 接下来你需要通读instant-NGP文章的appendix,了解用instant-ngp来实现nerf的结构和参数是怎么样的,最后先搭建一个你自己的nerf demo,最后就可以尝试去修改neuman的网络结构了。 我最后实现的效果并不是很好,我想可能存在一些原理层面的冲突(也可能有bug)。
OK! Thank you very much for your reply. Can I ask if the final effect you achieved is similar to the original text? How long is the training time? Could you please share your code, thank you very much!
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@litchisea
actually there are still some bugs,and i will share it after I get a good result.
For some reasons I stoped this work,and I would work on it later.
So, I am sorry that I cannot help.
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@litchisea actually there are still some bugs,and i will share it after I get a good result. For some reasons I stoped this work,and I would work on it later. So, I am sorry that I cannot help.
Are you still researching now? How is it going? Do you have any results? If so, can you share the code?
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Related Issues (20)
- How can i train human nerf on ZJU-MoCap dataset? HOT 1
- Can I use other poses instead of AMASS? HOT 3
- Problem with preprocessing my own video HOT 3
- "Error: Cannot Handle Data Type: (1, 1, 3), <f4" HOT 1
- 你的yml文件安装报错,输入你的分开安装的代码,也是报错,怎么回事?
- Question about the empty_space_loss
- Questions about data preprocessing HOT 1
- the new data set training problem
- Question about Telegathering
- Training human nerf model problem
- 为什么我运行demo生成的图像都是黑色的? HOT 1
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- Training too slow
- Where do you use mono_depth? HOT 7
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