Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild

17 July 2020

Papers citing "Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild"

4 / 4 papers shown

Title
Personalized 3D Human Pose and Shape Refinement Tom Wehrbein Bodo Rosenhahn Iain A. Matthews Carsten Stoll 3DH 33 1 0 18 Mar 2024
RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization Yan Xu Junyi Lin Guofeng Zhang Xiaogang Wang Hongsheng Li 37 58 0 24 Mar 2022
6-DoF Object Pose from Semantic Keypoints Georgios Pavlakos Xiaowei Zhou Aaron Chan Konstantinos G. Derpanis Kostas Daniilidis 105 392 0 14 Mar 2017
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 189 1,941 0 24 Oct 2016