BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation

• URL: http://arxiv.org/abs/2312.02136v1
• Date: Mon, 4 Dec 2023 18:56:10 GMT
• Title: BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation
• Authors: Qihang Zhang, Yinghao Xu, Yujun Shen, Bo Dai, Bolei Zhou, Ceyuan Yang
• Abstract summary: We propose a practical and efficient 3D representation that incorporates an equivariant radiance field with the guidance of a bird's-eye view map. We produce large-scale, even infinite-scale, 3D scenes via synthesizing local scenes and then stitching them with smooth consistency.
• Score: 96.58789785954409
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Generating large-scale 3D scenes cannot simply apply existing 3D object synthesis technique since 3D scenes usually hold complex spatial configurations and consist of a number of objects at varying scales. We thus propose a practical and efficient 3D representation that incorporates an equivariant radiance field with the guidance of a bird's-eye view (BEV) map. Concretely, objects of synthesized 3D scenes could be easily manipulated through steering the corresponding BEV maps. Moreover, by adequately incorporating positional encoding and low-pass filters into the generator, the representation becomes equivariant to the given BEV map. Such equivariance allows us to produce large-scale, even infinite-scale, 3D scenes via synthesizing local scenes and then stitching them with smooth consistency. Extensive experiments on 3D scene datasets demonstrate the effectiveness of our approach. Our project website is at https://zqh0253.github.io/BerfScene/.

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