We present a novel differentiable rendering framework for joint geometry...
Neural implicit functions have recently shown promising results on surfa...
Learning-based multi-view stereo (MVS) methods have demonstrated promisi...
Learning-based stereo matching has recently achieved promising results, ...
In this paper, we introduce a novel network, called discriminative featu...
Current bundle adjustment solvers such as the Levenberg-Marquardt (LM)
a...
Recent learning-based approaches, in which models are trained by single-...
In this paper, we present a joint multi-task learning framework for sema...
This work focuses on mitigating two limitations in the joint learning of...
While deep learning has recently achieved great success on multi-view st...
The self-supervised learning of depth and pose from monocular sequences
...
Most existing studies on learning local features focus on the patch-base...
Deep learning has recently demonstrated its excellent performance for
mu...
We present an end-to-end deep learning architecture for depth map infere...