Efficient 4D Gaussian Stream with Low Rank Adaptation
Zhenhuan Liu, Shuai Liu, Yidong Lu, Yirui Chen, Jie Yang +1 more
2/23/2025
cs.CV
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Abstract
Recent methods have made significant progress in synthesizing novel views with long video sequences. This paper proposes a highly scalable method for dynamic novel view synthesis with continual learning. We leverage the 3D Gaussians to represent the scene and a low-rank adaptation-based deformation model to capture the dynamic scene changes. Our method continuously reconstructs the dynamics with chunks of video frames, reduces the streaming bandwidth by $90\%$ while maintaining high rendering quality comparable to the off-line SOTA methods.
