Open ImNotPrepared opened 1 month ago
Hi.
I think it should be possible to make scales = torch.nn.Parameter(torch.rand(N,1))
for size (N,1) (or make them size dist_avg which is knn neighbour avg, as in original paper, check simple_trainer.py) and when calling rasterization(...)
function call with rasterization(..., scales = scales.repeat(1,3), ...)
to reshape them to (N,3) but identical values hence isotropic. For each gaussian you optimize single scale only.
Hi,
I want to use isotropic gaussians rendering, is there any fast way to achieve that? Appreciate your kind help.
Best