3 citations · 4 across the 4 of their papers we have counts for
4 papers
Forward Flow for Novel View Synthesis of Dynamic Scenes
Xiang Guo, Jiadai Sun, Yuchao Dai +6
This paper proposes a neural radiance field (NeRF) approach for novel view synthesis of dynamic scenes using forward warping. Existing methods often adopt a static NeRF to represen…
MVImgNet: A Large-scale Dataset of Multi-view Images
Xianggang Yu, Mutian Xu, Yidan Zhang +10
Being data-driven is one of the most iconic properties of deep learning algorithms. The birth of ImageNet drives a remarkable trend of "learning from large-scale data" in computer…
Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features
Yuqi Zhang, Guanying Chen, Shuguang Cui
Existing neural radiance fields (NeRF) methods for large-scale scene modeling require days of training using multiple GPUs, hindering their applications in scenarios with limited c…
Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes
Haolin Liu, Yujian Zheng, Guanying Chen +2
We present a new framework to reconstruct holistic 3D indoor scenes including both room background and indoor objects from single-view images. Existing methods can only produce 3D…