Multilayer perceptrons (MLPs) learn high frequencies slowly. Recent
appr...
Recent work in multi-view stereo (MVS) combines learnable photometric sc...
We consider the problem of synthesizing multi-action human motion sequen...
Recent learning-based multi-view stereo (MVS) methods show excellent
per...
Prior work in multi-task learning has mainly focused on predictions on a...
Style transfer methods produce a transferred image which is a rendering ...
Recent approaches for predicting layouts from 360 panoramas produce exce...
We describe a method that predicts, from a single RGB image, a depth map...
One major challenge in 3D reconstruction is to infer the complete shape
...
We propose an algorithm to predict room layout from a single image that
...
Inferring the location, shape, and class of each object in a single imag...
The success of various applications including robotics, digital content
...
One major goal of vision is to infer physical models of objects, surface...