Closed VladimirYugay closed 7 months ago
Hi, have you figured it out? I found the same result about: glm::mat3 T = W * J; In fact, I have the result of T=J@W, corresponding to the matmul.
@yyzzyy78 check out this repo, they actually implemented it if the gaussians are frozen!
Hey there,
- In
backward.cu
dL_dtx, dL_dty, dL_dtz
are derivatives w.r.t. Gaussian means in the camera space?- In
backward.cu
when I runglm::mat3 T = W * J;
with the debugger, it gives me the same result if I'd doT = J @ W
in numpy. I read that in opengl matrices I column-major, but still it's a bit unclear.- In
backward.cu
dL_dTij
are derivatives w.r.t.T = W * J
orT = J * W
in "mathematical"/"theoretical" sense?嘿,这里,
- 在
backward.cu``dL_dtx, dL_dty, dL_dtz
中是w.r.t.的导数。高斯意味着在相机空间中? 在backward.cu
中,当我用调试器运行glm::mat3 T = W * J;
时,如果我在numpy中运行T = J @ W
,它会给我同样的结果。我在opengl matrices中读到过,但还是有点不清楚。 在backward.cu``dL_dTij
中,是关于t的导数。T = W * J
或T = J * W
在“数学”/“理论”意义上?
The glm::mat is a transpose for mat input, which is store in col.
Hey there,
backward.cu
dL_dtx, dL_dty, dL_dtz
are derivatives w.r.t. Gaussian means in the camera space?backward.cu
when I runglm::mat3 T = W * J;
with the debugger, it gives me the same result if I'd doT = J @ W
in numpy. I read that in opengl matrices I column-major, but still it's a bit unclear.backward.cu
dL_dTij
are derivatives w.r.t.T = W * J
orT = J * W
in "mathematical"/"theoretical" sense?