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DaReNeRF: Direction-aware Representation for Dynamic Scenes
March 5, 2024, 2:49 p.m. | Ange Lou, Benjamin Planche, Zhongpai Gao, Yamin Li, Tianyu Luan, Hao Ding, Terrence Chen, Jack Noble, Ziyan Wu
cs.CV updates on arXiv.org arxiv.org
Abstract: Addressing the intricate challenge of modeling and re-rendering dynamic scenes, most recent approaches have sought to simplify these complexities using plane-based explicit representations, overcoming the slow training time issues associated with methods like Neural Radiance Fields (NeRF) and implicit representations. However, the straightforward decomposition of 4D dynamic scenes into multiple 2D plane-based representations proves insufficient for re-rendering high-fidelity scenes with complex motions. In response, we present a novel direction-aware representation (DaRe) approach that captures scene …
abstract arxiv challenge complexities cs.cv cs.gr dynamic fields modeling nerf neural radiance fields plane rendering representation training type
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