Web: http://arxiv.org/abs/2209.07105

Sept. 16, 2022, 1:15 a.m. | Byeongjun Park, Hyojun Go, Changick Kim

cs.CV updates on arXiv.org arxiv.org

Creating novel views from a single image has achieved tremendous strides with
advanced autoregressive models. Although recent methods generate high-quality
novel views, synthesizing with only one explicit or implicit 3D geometry has a
trade-off between two objectives that we call the ``seesaw'' problem: 1)
preserving reprojected contents and 2) completing realistic out-of-view
regions. Also, autoregressive models require a considerable computational cost.
In this paper, we propose a single-image view synthesis framework for
mitigating the seesaw problem. The proposed model is …

arxiv image

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