needle 发表于 2025-4-1 04:56:18

SimpleRecon: 3D Reconstruction Without 3D Convolutions,ined with 2) the integration of keyframe and geometric metadata into the cost volume which allows informed depth plane scoring. Our method achieves a significant lead over the current state-of-the-art for depth estimation and close or better for 3D reconstruction on ScanNet and 7-Scenes, yet still a

BULLY 发表于 2025-4-1 07:55:44

,Structure and Motion from Casual Videos,on reprojection error. Our method sets a new state-of-the-art for pose and depth estimation on the Sintel dataset, and produces high-quality results for the DAVIS dataset where most prior methods fail to produce usable camera poses.

infarct 发表于 2025-4-1 10:48:48

,What Matters for 3D Scene Flow Network, design choices in key components of the 3D scene flow network, including the point similarity calculation, input elements of predictor, and predictor & refinement level design. After carefully choosing the most effective designs, we are able to present a model that achieves the state-of-the-art per

十字架 发表于 2025-4-1 14:50:11

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tariff 发表于 2025-4-1 21:20:07

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整洁漂亮 发表于 2025-4-2 00:00:05

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Adornment 发表于 2025-4-2 04:45:43

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查看完整版本: Titlebook: Computer Vision – ECCV 2022; 17th European Confer Shai Avidan,Gabriel Brostow,Tal Hassner Conference proceedings 2022 The Editor(s) (if app