CTNeRF: Cross-Time Transformer for Dynamic Neural Radiance Field from Monocular Video

arXiv:2401.04861v2 Announce Type: replace
Abstract: The goal of our work is to generate high-quality novel views from monocular videos of complex and dynamic scenes. Prior methods, such as DynamicNeRF, have shown impressive performance by leveraging time-varying dynamic radiation fields. However, these methods have limitations when it comes to accurately modeling the motion of complex objects, which can lead to inaccurate and blurry renderings of details. To address this limitation, we propose a novel approach that builds upon a recent generalization …

arxiv cs.cv dynamic neural radiance field replace transformer type video