Geometric Image Synthesis

Geometric Image Synthesis

12 September 2018

Hassan Abu Alhaija

Siva Karthik Mustikovela

Papers citing "Geometric Image Synthesis"

12 / 12 papers shown

Title
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation Y. Zhu Jianwen Xie Ping Li MedIm 20 4 0 16 Apr 2023
Photo-realistic Neural Domain Randomization Sergey Zakharov Rares Ambrus Vitor Campagnolo Guizilini Wadim Kehl Adrien Gaidon 24 9 0 23 Oct 2022
Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis Xuanmeng Zhang Zhedong Zheng Daiheng Gao Bang Zhang Pan Pan Yi Yang 3DV GAN 23 51 0 13 Apr 2022
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis Xingang Pan Xudong Xu Chen Change Loy Christian Theobalt Bo Dai 3DH 36 87 0 29 Oct 2021
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields Michael Niemeyer Andreas Geiger OCL 49 955 0 24 Nov 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis Katja Schwarz Yiyi Liao Michael Niemeyer Andreas Geiger VGen 54 864 0 05 Jul 2020
From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding Igor Kviatkovsky Nadav Bhonker Gérard Medioni 28 3 0 03 Jun 2020
Learning Implicit Surface Light Fields Michael Oechsle Michael Niemeyer L. Mescheder Thilo Strauss Andreas Geiger 3DH 3DV 29 43 0 27 Mar 2020
Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation Tom Bruls Horia Porav Lars Kunze Paul Newman 13 6 0 10 Jul 2019
Texture Fields: Learning Texture Representations in Function Space Michael Oechsle L. Mescheder Michael Niemeyer Thilo Strauss Andreas Geiger 3DH 3DV 27 296 0 17 May 2019
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion M. Sahasrabudhe Zhixin Shu Edward Bartrum R. Güler Dimitris Samaras Iasonas Kokkinos 3DH DRL 3DV 27 40 0 26 Apr 2019
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects Michael A. Alcorn Melvin Johnson Zhitao Gong Chengfei Wang Long Mai Naveen Ari Stella Laurenzo 30 298 0 28 Nov 2018