13 citations · 31 across the 4 of their papers we have counts for
4 papers
Improving Pixel-based MIM by Reducing Wasted Modeling Capability
Yuan Liu, Songyang Zhang, Jiacheng Chen +3
There has been significant progress in Masked Image Modeling (MIM). Existing MIM methods can be broadly categorized into two groups based on the reconstruction target: pixel-based…
NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images
Yuan Liu, Peng Wang, Cheng Lin +5
We present a neural rendering-based method called NeRO for reconstructing the geometry and the BRDF of reflective objects from multiview images captured in an unknown environment.…
F-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories
Peng Wang, Yuan Liu, Zhaoxi Chen +5
This paper presents a novel grid-based NeRF called F2-NeRF (Fast-Free-NeRF) for novel view synthesis, which enables arbitrary input camera trajectories and only costs a few minutes…
PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling
Yuan Liu, Songyang Zhang, Jiacheng Chen +2
Masked Image Modeling (MIM) has achieved promising progress with the advent of Masked Autoencoders (MAE) and BEiT. However, subsequent works have complicated the framework with new…