23 citations · 23 across the 2 of their papers we have counts for
5 papers
Deep Neural Network Approach for Annual Luminance Simulations
Yue Liu, Alex Colburn, Mehlika Inanici
Annual luminance maps provide meaningful evaluations for occupants' visual comfort, preferences, and perception. However, acquiring long-term luminance maps require labor-intensive…
Equivariant Neural Rendering
Emilien Dupont, Miguel Angel Bautista, Alex Colburn +4
We propose a framework for learning neural scene representations directly from images, without 3D supervision. Our key insight is that 3D structure can be imposed by ensuring that…
Learning Stylized Character Expressions from Humans
Deepali Aneja, Alex Colburn, Gary Faigin +2
We present DeepExpr, a novel expression transfer system from humans to multiple stylized characters via deep learning. We developed : 1) a data-driven perceptual model of facial ex…
Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-the-art Methods
Chuhang Zou, Jheng-Wei Su, Chi-Han Peng +5
Recent approaches for predicting layouts from 360 panoramas produce excellent results. These approaches build on a common framework consisting of three steps: a pre-processing step…
LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
Chuhang Zou, Alex Colburn, Qi Shan +1
We propose an algorithm to predict room layout from a single image that generalizes across panoramas and perspective images, cuboid layouts and more general layouts (e.g. L-shape r…