Search Results for author:
Found 7 papers, 4 papers with code
CoARF: Controllable 3D Artistic Style Transfer for Radiance Fields
We also propose a semantic-aware nearest neighbor matching algorithm to improve the style transfer quality.
Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment
In this regard, we propose the Reddit Photo Critique Dataset (RPCD), which contains tuples of image and photo critiques.
Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets
This paper aims at learning category-specific 3D keypoints, in an unsupervised manner, using a collection of misaligned 3D point clouds of objects from an unknown category.
What's in my Room? Object Recognition on Indoor Panoramic Images
In the last few years, there has been a growing interest in taking advantage of the 360 panoramic images potential, while managing the new challenges they imply.
Corners for Layout: End-to-End Layout Recovery from 360 Images
The problem of 3D layout recovery in indoor scenes has been a core research topic for over a decade.
PanoRoom: From the Sphere to the 3D Layout
We outperform the state of the art not only in accuracy of the 3D models but also in speed.
Layouts from Panoramic Images with Geometry and Deep Learning
In this paper, we propose a novel procedure for 3D layout recovery of indoor scenes from single 360 degrees panoramic images.
