1 code implementation • 9 Dec 2022 • Zhongshu Wang, Lingzhi Li, Zhen Shen, Li Shen, Liefeng Bo
In this paper, we present a novel and effective framework, named 4K-NeRF, to pursue high fidelity view synthesis on the challenging scenarios of ultra high resolutions, building on the methodology of neural radiance fields (NeRF).
1 code implementation • 29 Nov 2022 • Lingzhi Li, Zhen Shen, Zhongshu Wang, Li Shen, Liefeng Bo
Approximating radiance fields with volumetric grids is one of promising directions for improving NeRF, represented by methods like Plenoxels and DVGO, which achieve super-fast training convergence and real-time rendering.
1 code implementation • 26 Oct 2022 • Lingzhi Li, Zhen Shen, Zhongshu Wang, Li Shen, Ping Tan
Instead of training a single model that combines all the frames, we formulate the dynamic modeling problem with an incremental learning paradigm in which per-frame model difference is trained to complement the adaption of a base model on the current frame.