Factorized Motion Fields for Fast Sparse Input Dynamic View Synthesis

arXiv:2404.11669v1 Announce Type: new
Abstract: Designing a 3D representation of a dynamic scene for fast optimization and rendering is a challenging task. While recent explicit representations enable fast learning and rendering of dynamic radiance fields, they require a dense set of input viewpoints. In this work, we focus on learning a fast representation for dynamic radiance fields with sparse input viewpoints. However, the optimization with sparse input is under-constrained and necessitates the use of motion priors to constrain the learning. …

arxiv cs.cv dynamic fields synthesis type view