note written during the stream: app.conceptboard.com/board/mi... So I came to visit luma office, and want to share my feeling during the stay, also talk about the work we're doing recently
Пікірлер: 44
@user-cx4cq8nx1f7 ай бұрын
感谢分享 终于找到一个能听懂的视频了!
@user-ir3ql5yk7y9 ай бұрын
非常棒的讲解,从nerf就开始关注你啦~~
@fangliu1259 ай бұрын
我真的太爱葵大了😍向葵大学习!
@jiashuaizmo94448 ай бұрын
Thanks a lot for these sharing about 3DGS. I am working on this copy of code currently.
Hi, given a pixel, is there a function to know what all Gaussian splat is contributing to it ?
@kwea1235 ай бұрын
the original code already does that, but it stores in some buffer that is very hard to extract from pytorch side. If you want to retrieve that info, you basically need to create a pytorch tensor, and pass the pointer to that tensor to the cuda code, then you can retrieve from python. It is rather complicated.
@JaswinKasi5 ай бұрын
@@kwea123can you tell me which part of the code does it. I dont know CUDA much
@kwea1235 ай бұрын
@@JaswinKasi github.com/graphdeco-inria/gaussian-splatting/issues/403 I pointed out in this issue, but it is rather complicated without code explanation.