Geometry-guided Online 3D Video Synthesis with Multi-View Temporal Consistency
Hyunho Ha, Lei Xiao, Christian Richardt, Thu Nguyen-Phuoc, Changil Kim, Min H. Kim, Douglas Lanman, Numair Khan
Abstract
Temporal plane slices show (in)consistency across time t x y x t GPS-Gaussian ENeRF Ours Novel view renderings PSNR Computation Time (ms) Figure 1 . Our method enables efficient rendering of high-quality, consistent 3D videos by addressing the challenges of view synthesis in both spatial and temporal dimensions. In multi-camera setups, novel-view synthesis must manage continuous changes across view and time to ensure smooth visualization. Existing methods process frames independently and often introduce flickering artifacts. We propose using aggregated depth as geometric guidance to a blending network to maintain consistent color and detail across frames. This results in view and temporally consistent 3D videos, achieving state-of-the-art quality while providing improved processing speed over prior methods.
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