6 citations · 8 across the 8 of their papers we have counts for
6 papers · 1 filter
ReCamDriving: LiDAR-Free Camera-Controlled Video Synthesis for Novel Trajectories
Yaokun Li, Shuaixian Wang, Mantang Guo +6
Synthesizing multi-pass videos is important for autonomous driving. While current repair-based methods often struggle with out-of-distribution artifacts, camera-controlled methods…
Learning A Locally Unified 3D Point Cloud for View Synthesis
Meng You, Mantang Guo, Xianqiang Lyu +2
In this paper, we explore the problem of 3D point cloud representation-based view synthesis from a set of sparse source views. To tackle this challenging problem, we propose a new…
Content-aware Warping for View Synthesis
Mantang Guo, Junhui Hou, Jing Jin +3
Existing image-based rendering methods usually adopt depth-based image warping operation to synthesize novel views. In this paper, we reason the essential limitations of the tradit…
Learning Dynamic Interpolation for Extremely Sparse Light Fields with Wide Baselines
Mantang Guo, Jing Jin, Hui Liu +1
In this paper, we tackle the problem of dense light field (LF) reconstruction from sparsely-sampled ones with wide baselines and propose a learnable model, namely dynamic interpola…
Breaking the Spatio-Angular Trade-off for Light Field Super-Resolution via LSTM Modelling on Epipolar Plane Images
Hao Zhu, Mantang Guo, Hongdong Li +2
Light-field cameras (LFC) have received increasing attention due to their wide-spread applications. However, current LFCs suffer from the well-known spatio-angular trade-off, which…
Dense Light Field Reconstruction From Sparse Sampling Using Residual Network
Mantang Guo, Hao Zhu, Guoqing Zhou +1
A light field records numerous light rays from a real-world scene. However, capturing a dense light field by existing devices is a time-consuming process. Besides, reconstructing a…