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READ: Large-Scale Neural Scene Rendering for Autonomous Driving. (arXiv:2205.05509v1 [cs.CV])
Web: http://arxiv.org/abs/2205.05509
May 12, 2022, 1:10 a.m. | Zhuopeng Li, Lu Li, Zeyu Ma, Ping Zhang, Junbo Chen, Jianke Zhu
cs.CV updates on arXiv.org arxiv.org
Synthesizing free-view photo-realistic images is an important task in
multimedia. With the development of advanced driver assistance systems~(ADAS)
and their applications in autonomous vehicles, experimenting with different
scenarios becomes a challenge. Although the photo-realistic street scenes can
be synthesized by image-to-image translation methods, which cannot produce
coherent scenes due to the lack of 3D information. In this paper, a large-scale
neural rendering method is proposed to synthesize the autonomous driving
scene~(READ), which makes it possible to synthesize large-scale driving
scenarios …
More from arxiv.org / cs.CV updates on arXiv.org
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