Accelerating Eulerian Fluid Simulation With Convolutional Networks

When asking those in the VFX industry which processes are the slowest and most compute-intensive fluid simulation is bound to be somewhere towards the top of the list. Physical phenomena such as fire and water are notoriously difficult to control, even in the hands of the most experienced artists, and usually require a significant number…Read More

Learning to Segment Every Thing

Producing accurate pixel-level masks around specific objects within images is of course a common task in VFX. Current solutions can be labor-intensive, and the results from one task cannot be used directly to improve the quality of future work. Existing tools generally do not know the semantic context of the object whose mask is being…Read More

Live Intrinsic Material Estimation

Whilst augmented reality may have motivated this research there’s clear applicability of this technique to visual effects, and further research in this area is sure to pave the way to exciting new tools. We present the first end-to-end approach for real-time material estimation for general object shapes that only requires a single color image as…Read More