10 citations · 18 across the 3 of their papers we have counts for
5 papers
Learning Generative Models of Shape Handles
Matheus Gadelha, Giorgio Gori, Duygu Ceylan +5
We present a generative model to synthesize 3D shapes as sets of handles -- lightweight proxies that approximate the original 3D shape -- for applications in interactive editing, s…
LPaintB: Learning to Paint from Self-Supervision
Biao Jia, Jonathan Brandt, Radomir Mech +2
We present a novel reinforcement learning-based natural media painting algorithm. Our goal is to reproduce a reference image using brush strokes and we encode the objective through…
3DN: 3D Deformation Network
Weiyue Wang, Duygu Ceylan, Radomir Mech +1
Applications in virtual and augmented reality create a demand for rapid creation and easy access to large sets of 3D models. An effective way to address this demand is to edit or d…
Photo-Sketching: Inferring Contour Drawings from Images
Mengtian Li, Zhe Lin, Radomir Mech +2
Edges, boundaries and contours are important subjects of study in both computer graphics and computer vision. On one hand, they are the 2D elements that convey 3D shapes, on the ot…
Recognizing and Curating Photo Albums via Event-Specific Image Importance
Yufei Wang, Zhe Lin, Xiaohui Shen +3
Automatic organization of personal photos is a problem with many real world ap- plications, and can be divided into two main tasks: recognizing the event type of the photo collecti…