6 citations · 10 across the 5 of their papers we have counts for
5 papers
NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields
Liangchen Song, Anpei Chen, Zhong Li +5
Visually exploring in a real-world 4D spatiotemporal space freely in VR has been a long-term quest. The task is especially appealing when only a few or even single RGB cameras are…
CNN-Augmented Visual-Inertial SLAM with Planar Constraints
Pan Ji, Yuan Tian, Qingan Yan +2
We present a robust visual-inertial SLAM system that combines the benefits of Convolutional Neural Networks (CNNs) and planar constraints. Our system leverages a CNN to predict the…
RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo
Changjiang Cai, Pan Ji, Qingan Yan +1
This paper presents a learning-based method for multi-view depth estimation from posed images. Our core idea is a "learning-to-optimize" paradigm that iteratively indexes a plane-s…
PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo
Jiachen Liu, Pan Ji, Nitin Bansal +4
We present a novel framework named PlaneMVS for 3D plane reconstruction from multiple input views with known camera poses. Most previous learning-based plane reconstruction methods…
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
Pan Ji, Runze Li, Bir Bhanu +1
Self-supervised depth estimation for indoor environments is more challenging than its outdoor counterpart in at least the following two aspects: (i) the depth range of indoor seque…