2024 CVPR CVPR 2024

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

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://https://zqh0253.github.io/BerfScene.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Computer Science and Computer Vision and Deep Learning and Machine Learning
🧭 Keyword Pioneer — scene stitching
🐣 Hot Topic Early Bird — 3d scene generation
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio