4 papers
MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction
Wenyuan Zhang, Yixiao Yang, Han Huang +4
Monocular depth priors have been widely adopted by neural rendering in multi-view based tasks such as 3D reconstruction and novel view synthesis. However, due to the inconsistent p…
FatesGS: Fast and Accurate Sparse-View Surface Reconstruction using Gaussian Splatting with Depth-Feature Consistency
Han Huang, Yulun Wu, Chao Deng +3
Recently, Gaussian Splatting has sparked a new trend in the field of computer vision. Apart from novel view synthesis, it has also been extended to the area of multi-view reconstru…
Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views
Yulun Wu, Han Huang, Wenyuan Zhang +4
In recent years, reconstructing indoor scene geometry from multi-view images has achieved encouraging accomplishments. Current methods incorporate monocular priors into neural impl…
NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views
Han Huang, Yulun Wu, Junsheng Zhou +3
Recently, neural implicit functions have demonstrated remarkable results in the field of multi-view reconstruction. However, most existing methods are tailored for dense views and…