13 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.CV2024
FrameNeRF: A Simple and Efficient Framework for Few-shot Novel View Synthesis
Yan Xing, Pan Wang, Ligang Liu +2
We present a novel framework, called FrameNeRF, designed to apply off-the-shelf fast high-fidelity NeRF models with fast training speed and high rendering quality for few-shot nove…
cs.CV2023★ 3 cited
CBARF: Cascaded Bundle-Adjusting Neural Radiance Fields from Imperfect Camera Poses
Hongyu Fu, Xin Yu, Lincheng Li +1
Existing volumetric neural rendering techniques, such as Neural Radiance Fields (NeRF), face limitations in synthesizing high-quality novel views when the camera poses of input ima…
cs.CV2023★ 13 cited
S-NeRF: Neural Radiance Fields for Street Views
Ziyang Xie, Junge Zhang, Wenye Li +2
Neural Radiance Fields (NeRFs) aim to synthesize novel views of objects and scenes, given the object-centric camera views with large overlaps. However, we conjugate that this parad…