Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data (SIGGRAPH 2022)
Channel: Mengyu Rachel Chu
Date: 2022-06-18

we propose a method to reconstruct spatio-temporal fluid functions with implicit continuous neural representations from RGB videos. Hybrid scenes with static obstacles are supported for the first time. We take a sparse set of videos as input and support relaxed constraints including unknown lighting conditions and arbitrary obstacles. More information can be found here: https://people.mpi-inf.mpg.de/~mchu/projects/PI-NeRF/