274 citations · 451 across the 13 of their papers we have counts for
14 papers
NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction
Xiaoshuai Zhang, Sai Bi, Kalyan Sunkavalli +2
While NeRF has shown great success for neural reconstruction and rendering, its limited MLP capacity and long per-scene optimization times make it challenging to model large-scale…
NeLF: Neural Light-transport Field for Portrait View Synthesis and Relighting
Tiancheng Sun, Kai-En Lin, Sai Bi +2
Human portraits exhibit various appearances when observed from different views under different lighting conditions. We can easily imagine how the face will look like in another set…
NeuMIP: Multi-Resolution Neural Materials
Alexandr Kuznetsov, Krishna Mullia, Zexiang Xu +2
We propose NeuMIP, a neural method for representing and rendering a variety of material appearances at different scales. Classical prefiltering (mipmapping) methods work well on si…
MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo
Anpei Chen, Zexiang Xu, Fuqiang Zhao +4
We present MVSNeRF, a novel neural rendering approach that can efficiently reconstruct neural radiance fields for view synthesis. Unlike prior works on neural radiance fields that…
NeuTex: Neural Texture Mapping for Volumetric Neural Rendering
Fanbo Xiang, Zexiang Xu, Miloš Hašan +3
Recent work has demonstrated that volumetric scene representations combined with differentiable volume rendering can enable photo-realistic rendering for challenging scenes that me…
Light Stage Super-Resolution: Continuous High-Frequency Relighting
Tiancheng Sun, Zexiang Xu, Xiuming Zhang +6
The light stage has been widely used in computer graphics for the past two decades, primarily to enable the relighting of human faces. By capturing the appearance of the human subj…