We present an approach to synthesizing photographic images conditioned on semantic layouts. Given a semantic label map, our approach produces an image with photographic appearance that conforms to the input layout. The approach thus functions as a rendering engine that takes a two-dimensional semantic specification of the scene and produces a corresponding photographic image...
Authors
Related Content
DSOD: Learning Deeply Supervised Object Detectors from Scratch
We present Deeply Supervised Object Detector (DSOD), a framework that can learn object detectors from scratch. State-of-the-art object objectors rely...
RON: Reverse Connection with Objectness Prior Networks for...
We present RON, an efficient and effective framework for generic object detection. Our motivation is to smartly associate the best...
Physics Inspired Optimization on Semantic Transfer Features: An...
In this paper, we propose an alternative method to estimate room layouts of cluttered indoor scenes. This method enjoys the...
Applications of VOLA Format for 3D Data Knowledge...
VOLA is a compact data structure that unifies computer vision and 3D rendering and allows for the rapid calculation of...
