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DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos
May 6, 2024, 4:45 a.m. | Wen-Hsuan Chu, Lei Ke, Katerina Fragkiadaki
cs.CV updates on arXiv.org arxiv.org
Abstract: Existing VLMs can track in-the-wild 2D video objects while current generative models provide powerful visual priors for synthesizing novel views for the highly under-constrained 2D-to-3D object lifting. Building upon this exciting progress, we present DreamScene4D, the first approach that can generate three-dimensional dynamic scenes of multiple objects from monocular in-the-wild videos with large object motion across occlusions and novel viewpoints. Our key insight is to design a "decompose-then-recompose" scheme to factorize both the whole video …
2d-to-3d 3d object abstract arxiv building cs.cv current dynamic generate generative generative models multiple novel object objects progress three-dimensional type video videos visual vlms while
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