Hi Andreas, thanks for the video, I was wondering in the TensoRF model if you can easily compute the gradient of the density function at any point, (i.e. the surface normal vector)? With a NeRF I can compute the gradient of sigma using autodiff on the neural network. How does this translate to TensoRF ?
Thank you. Inspiring works.
Hi Andreas, I'm interested in RVC 2022 talks and I wonder if you upload the RVC 2022 video here, thank you!
Hi Andreas, thanks for the video, I was wondering in the TensoRF model if you can easily compute the gradient of the density function at any point, (i.e. the surface normal vector)? With a NeRF I can compute the gradient of sigma using autodiff on the neural network. How does this translate to TensoRF ?
This should also be possible, autodiff then basically differentiates through the (bi-/trilinear) interpolation function.