Abstract:We present a method for estimating temporally stable depth video from a sequence of images. We extend the prior work aimed at video depth estimation, Neural-RGBD [1], which proposed to use temporal information by accumulating a depth probability volume over time. We propose three simple yet effective ideas to gain improvement: (1) temporal attention module to select and propagate only the meaningful temporal information, (2) geometric warping operation to warp neighbor features in the way of preserving geometr… Show more
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