  This paper aims to review and determine the feasibility of using variations
of NeRF models in order to reconstruct crime scenes given input videos of the
scene. We focus on three main innovations of NeRF when it comes to
reconstructing crime scenes: Multi-object Synthesis, Deformable Synthesis, and
Lighting. From there, we analyse its innovation progress against the
requirements to be met in order to be able to reconstruct crime scenes with
given videos of such scenes.
