Abstract:Figure 1: Novel view synthesis with LENS: given a 3D scene defined by a set of images labeled with corresponding poses (green cameras), we train a NeRF and render novel views (depicted images) on pose queries distributed across the scene (red cameras). Synthetic and real images are gathered to train a camera pose regression model, which performs twice better when evaluated on test set images (blue cameras) compared to the same model trained only on real training samples.
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