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NVS-MonoDepth: Improving Monocular Depth Prediction with Novel View Synthesis
(2021)2021 International Conference on 3D Vision (3DV)Building upon the recent progress in novel view synthesis, we propose its application to improve monocular depth estimation. In particular, we propose a novel training method split in three main steps. First, the prediction results of a monocular depth network are warped to an additional view point. Second, we apply an additional image synthesis network, which corrects and improves the quality of the warped RGB image. The output of this ...Conference Paper -
Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
(2021)Advances in Neural Information Processing Systems 34We address the novel task of jointly reconstructing the 3D shape, texture, and motion of an object from a single motion-blurred image. While previous approaches address the deblurring problem only in the 2D image domain, our proposed rigorous modeling of all object properties in the 3D domain enables the correct description of arbitrary object motion. This leads to significantly better image decomposition and sharper deblurring results. ...Conference Paper -
Shape As Points: A Differentiable Poisson Solver
(2021)Advances in Neural Information Processing Systems 34In recent years, neural implicit representations gained popularity in 3D reconstruction due to their expressiveness and flexibility. However, the implicit nature of neural implicit representations results in slow inference times and requires careful initialization. In this paper, we revisit the classic yet ubiquitous point cloud representation and introduce a differentiable point-to-mesh layer using a differentiable formulation of Poisson ...Conference Paper -