Sep 12, 2018 · In this work we propose a trainable, geometry-aware image generation method that leverages various types of scene information, including ...

In this work we propose a trainable, geometry-aware image generation method that leverages various types of scene information, including geometry and ...

Sep 30, 2022 · Abstract:3D-aware image synthesis aims at learning a generative model that can render photo-realistic 2D images while capturing decent ...

May 26, 2019 · Our geometrically-consistent image synthesis method is a deep neural network, called Geometry to Image Synthesis (GIS) framework, which retains ...

In this paper, we proposed a novel adversarial geometric consistency pursuit network aiming to synthesize two images in a seamless way. A geometric transform ...

We propose the Geometric Image Synthesis framework, a feed-forward architecture for synthesizing RGB images based on geometric and semantic cues.

3D-aware image synthesis aims at learning a generative model that can render photo-realistic 2D images while capturing decent underlying 3D shapes.

Our method preserves fine-level details of the hairstyle structural geometry and generates diverse range of pose variant transferred images without requiring ...

Sep 12, 2018 · This work proposes a trainable, geometry-aware image generation method that leverages various types of scene information, including geometry ...