Temporal View Synthesis
3 papers with code • 4 benchmarks • 4 datasets
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Most implemented papers
Neural Radiance Flow for 4D View Synthesis and Video Processing
We present a method, Neural Radiance Flow (NeRFlow), to learn a 4D spatial-temporal representation of a dynamic scene from a set of RGB images.
Revealing Disocclusions in Temporal View Synthesis through Infilling Vector Prediction
We consider the problem of temporal view synthesis, where the goal is to predict a future video frame from the past frames using knowledge of the depth and relative camera motion.
Temporal View Synthesis of Dynamic Scenes through 3D Object Motion Estimation with Multi-Plane Images
The predicted object motion is then integrated with the given user or camera motion to generate the next frame.