Search Results for author:
Found 5 papers, 2 papers with code
Deep Polycuboid Fitting for Compact 3D Representation of Indoor Scenes
This paper presents a novel framework for compactly representing a 3D indoor scene using a set of polycuboids through a deep learning-based fitting method.
Deep Cost Ray Fusion for Sparse Depth Video Completion
In this paper, we present a learning-based framework for sparse depth video completion.
Realistic Blur Synthesis for Learning Image Deblurring
To this end, we present RSBlur, a novel dataset with real blurred images and the corresponding sharp image sequences to enable a detailed analysis of the difference between real and synthetic blur.
Ranked #1 on
Deblurring
on RSBlur (trained on synthetic)
Spatiotemporal Texture Reconstruction for Dynamic Objects Using a Single RGB-D Camera
This paper presents an effective method for generating a spatiotemporal (time-varying) texture map for a dynamic object using a single RGB-D camera.
Deep Virtual Markers for Articulated 3D Shapes
We propose deep virtual markers, a framework for estimating dense and accurate positional information for various types of 3D data.
