activity
20122022
most citedATISS: Autoregressive Transformers for Indoor Scene Synthesis

47 citations · 105 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV20222 cited

XDGAN: Multi-Modal 3D Shape Generation in 2D Space

Hassan Abu Alhaija, Alara Dirik, André Knörig +2

Generative models for 2D images has recently seen tremendous progress in quality, resolution and speed as a result of the efficiency of 2D convolutional architectures. However it i…

cs.CV202147 cited

ATISS: Autoregressive Transformers for Indoor Scene Synthesis

Despoina Paschalidou, Amlan Kar, Maria Shugrina +3

The ability to synthesize realistic and diverse indoor furniture layouts automatically or based on partial input, unlocks many applications, from better interactive 3D tools to dat…

cs.CV2021

3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations

Kangxue Yin, Jun Gao, Maria Shugrina +2

We propose a method to create plausible geometric and texture style variations of 3D objects in the quest to democratize 3D content creation. Given a pair of textured source and ta…

cs.GR202013 cited

UniCon: Universal Neural Controller For Physics-based Character Motion

Tingwu Wang, Yunrong Guo, Maria Shugrina +1

The field of physics-based animation is gaining importance due to the increasing demand for realism in video games and films, and has recently seen wide adoption of data-driven tec…

cs.CV20196 cited

Neural Turtle Graphics for Modeling City Road Layouts

Hang Chu, Daiqing Li, David Acuna +6

We propose Neural Turtle Graphics (NTG), a novel generative model for spatial graphs, and demonstrate its applications in modeling city road layouts. Specifically, we represent the…

cs.GR2018

Color Sails: Discrete-Continuous Palettes for Deep Color Exploration

Maria Shugrina, Amlan Kar, Karan Singh +1

We present color sails, a discrete-continuous color gamut representation that extends the color gradient analogy to three dimensions and allows interactive control of the color ble…