We develop a method that recovers the surface, materials, and illuminati...
A signed distance function (SDF) parametrized by an MLP is a common
ingr...
Learning-based point cloud registration methods can handle clean point c...
Molecular representation learning plays a crucial role in AI-assisted dr...
3D-aware image synthesis has attracted increasing interest as it models ...
Partial-label learning (PLL) is an important weakly supervised learning
...
In recent years, supervised or unsupervised learning-based MVS methods
a...
A very recent trend in generative modeling is building 3D-aware generato...
Neural rendering can be used to reconstruct implicit representations of
...
Limited by the computational efficiency and accuracy, generating complex...
Depth estimation is a crucial step for 3D reconstruction with panorama i...
We propose a novel framework for computing descriptors for characterizin...