MonoSDF: Monocular Geometric Cues for Reconstruction
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MonoSDF: Ablation Study on Replica Dataset
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MonoSDF: Ablation Study on ScanNet
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TensoRF: Tensorial Radiance Fields
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TensoRF: 4D Representation - CANDECOMP/PARAFAC (CP) vs.
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TensoRF: Fast Training
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TensoRF: Tensor Decomposition
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TensoRF: CP Decomposition
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TensoRF: CP vs. VM Decomposition
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TensoRF: VM Decomposition
Description:
Explore cutting-edge techniques in 3D field reconstruction and view synthesis in this 27-minute talk from the ECCV 2022 workshop. Dive into three innovative approaches: RegNeRF, which addresses shape-appearance ambiguity and improves results with limited input views; MonoSDF, a method for monocular 3D reconstruction utilizing geometric cues; and TensoRF, introducing tensorial radiance fields for fast training and efficient representation. Learn about scene space annealing, depth map prediction from single images, and various tensor decomposition techniques. Gain insights into the challenges of 3D reconstruction and how these novel methods overcome them, illustrated with ablation studies and comparisons across different datasets.
Constraining 3D Fields for Reconstruction and View Synthesis