2 citations · 4 across the 4 of their papers we have counts for
5 papers
Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and Styles
Peng Wang, Xiang Liu, Peidong Liu
Stylizing 3D scenes instantly while maintaining multi-view consistency and faithfully resembling a style image remains a significant challenge. Current state-of-the-art 3D stylizat…
MBA-SLAM: Motion Blur Aware Gaussian Splatting SLAM
Peng Wang, Lingzhe Zhao, Yin Zhang +2
Emerging 3D scene representations, such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS), have demonstrated their effectiveness in Simultaneous Localization and Ma…
BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream
Wenpu Li, Pian Wan, Peng Wang +3
Neural implicit representation of visual scenes has attracted a lot of attention in recent research of computer vision and graphics. Most prior methods focus on how to reconstruct…
BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting
Lingzhe Zhao, Peng Wang, Peidong Liu
While neural rendering has demonstrated impressive capabilities in 3D scene reconstruction and novel view synthesis, it heavily relies on high-quality sharp images and accurate cam…
USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields
Moyang Li, Peng Wang, Lingzhe Zhao +2
Neural Radiance Fields (NeRF) has received much attention recently due to its impressive capability to represent 3D scene and synthesize novel view images. Existing works usually a…