The loss is really small,but the result is weird

[Net-Maker]

Thanks for this excellent work!
I am using instant-ngp to accelerate the training speed.
And i think the loss is really small enough to get a nice image.
here is my loss in tensorboard:

and here is my render output:

Can you help me to figure out the reason why i get a bad result?
maybe the iters is not enough,or I should modify the render part?

[Net-Maker]

instant-ngp in my work is just a accelerate tool and i did not break the framework,all things works fine(in my opinion...)

[jiangwei221]

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?

[Net-Maker]

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!

[litchisea]

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.

[Net-Maker]

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）。

[litchisea]

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!

[Net-Maker]

@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.

[litchisea]

@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?