AI RESEARCH

SV-GS: Sparse View 4D Reconstruction with Skeleton-Driven Gaussian Splatting

arXiv CS.CV

ArXi:2601.00285v2 Announce Type: replace Reconstructing a dynamic target moving over a large area is challenging. Standard approaches for dynamic object reconstruction require dense coverage in both the viewing space and the temporal dimension, typically relying on multi-view videos captured at each time step. However, such setups are only possible in constrained environments. In real-world scenarios, observations are often sparse over time and captured sparsely from diverse viewpoints (e.g., from security cameras), making dynamic reconstruction highly ill-posed.