RetimeGS: Continuous-Time Reconstruction of 4D Gaussian Splatting
Xuezhen Wang, Li Ma, Yulin Shen, Zeyu Wang, Pedro V. Sander

TL;DR
RetimeGS introduces a continuous-time 4D Gaussian Splatting method that reduces ghosting artifacts and improves temporal coherence in dynamic scene rendering through explicit temporal modeling and optical flow guidance.
Contribution
It proposes a novel 4D Gaussian Splatting representation that explicitly models temporal behavior and employs optical flow techniques for ghost-free, coherent interpolation.
Findings
Outperforms state-of-the-art methods on datasets with fast motion and occlusions.
Achieves smooth, ghost-free rendering at arbitrary timestamps.
Effectively handles large motions and non-rigid deformations.
Abstract
Temporal retiming, the ability to reconstruct and render dynamic scenes at arbitrary timestamps, is crucial for applications such as slow-motion playback, temporal editing, and post-production. However, most existing 4D Gaussian Splatting (4DGS) methods overfit at discrete frame indices but struggle to represent continuous-time frames, leading to ghosting artifacts when interpolating between timestamps. We identify this limitation as a form of temporal aliasing and propose RetimeGS, a simple yet effective 4DGS representation that explicitly defines the temporal behavior of the 3D Gaussian and mitigates temporal aliasing. To achieve smooth and consistent interpolation, we incorporate optical flow-guided initialization and supervision, triple-rendering supervision, and other targeted strategies. Together, these components enable ghost-free, temporally coherent rendering even under large…
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