Towards Robust 3D Pose Transfer with Adversarial Learning

2 April 2024

Papers citing "Towards Robust 3D Pose Transfer with Adversarial Learning"

7 / 7 papers shown

Title
Unveiling Hidden Vulnerabilities in Digital Human Generation via Adversarial Attacks Z. Li Yeying Jin Fan Shen Zhi Liu Weibin Chen ... Boyu Chen Michael Shen Kejian Wu Zhaoxin Fan Jin Dong AAML 40 0 0 24 Apr 2025
Skinned Motion Retargeting with Residual Perception of Motion Semantics & Geometry Jiaxu Zhang Junwu Weng Di Kang Fang Zhao Shaoli Huang Xuefei Zhe Linchao Bao Ying Shan Jue Wang Zhigang Tu 36 29 0 15 Mar 2023
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training Renrui Zhang Ziyu Guo Rongyao Fang Bingyan Zhao Dong Wang Yu Qiao Hongsheng Li Peng Gao 3DPC 173 244 0 28 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
3D Pose Transfer with Correspondence Learning and Mesh Refinement Chaoyue Song Jiacheng Wei Ruibo Li Fayao Liu Guosheng Lin 3DH 53 29 0 30 Sep 2021
3D-CODED : 3D Correspondences by Deep Deformation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 115 325 0 13 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 0 02 Dec 2016