Aug. 10, 2023, 4:49 a.m. | Muyu Xu, Fangneng Zhan, Jiahui Zhang, Yingchen Yu, Xiaoqin Zhang, Christian Theobalt, Ling Shao, Shijian Lu

cs.CV updates on arXiv.org arxiv.org

Neural Radiance Field (NeRF) has shown impressive performance in novel view
synthesis via implicit scene representation. However, it usually suffers from
poor scalability as requiring densely sampled images for each new scene.
Several studies have attempted to mitigate this problem by integrating
Multi-View Stereo (MVS) technique into NeRF while they still entail a
cumbersome fine-tuning process for new scenes. Notably, the rendering quality
will drop severely without this fine-tuning process and the errors mainly
appear around the high-frequency features. In …

arxiv fields images nerf neural radiance field neural radiance fields novel performance representation scalability studies synthesis wavelet

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US