May 6, 2022, 1:10 a.m. | Bangbang Yang, Yinda Zhang, Yijin Li, Zhaopeng Cui, Sean Fanello, Hujun Bao, Guofeng Zhang

cs.CV updates on arXiv.org arxiv.org

We, as human beings, can understand and picture a familiar scene from
arbitrary viewpoints given a single image, whereas this is still a grand
challenge for computers. We hereby present a novel solution to mimic such human
perception capability based on a new paradigm of amodal 3D scene understanding
with neural rendering for a closed scene. Specifically, we first learn the
prior knowledge of the objects in a closed scene via an offline stage, which
facilitates an online stage to …

3d arxiv cv free neural rendering objects understanding

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