MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

20 July 2022

Papers citing "MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis"

9 / 9 papers shown

Title
TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment Z. Wang Yang Zhou Jinhai Xiang Y. Wang Xinwei He VLM 37 0 0 05 May 2025
Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining Nathan Vaska Justin Goodwin Robin Walters Rajmonda S. Caceres AAML AI4CE 55 0 0 17 Jan 2025
Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Mengshi Qi Zhe Zhao Huadong Ma 40 1 0 08 Jan 2025
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning Yi Yang Lei Zhong Huiping Zhuang 3DPC CLL 29 0 0 18 Sep 2024
Masked Image Modeling: A Survey Vlad Hondru Florinel-Alin Croitoru Shervin Minaee Radu Tudor Ionescu N. Sebe 59 6 0 13 Aug 2024
Social-MAE: Social Masked Autoencoder for Multi-person Motion Representation Learning Mahsa Ehsanpour Ian Reid Hamid Rezatofighi ViT 27 0 0 08 Apr 2024
SieveNet: Selecting Point-Based Features for Mesh Networks Shengchao Yuan Yishun Dou Rui Shi Bingbing Ni Zhong Zheng 3DPC 16 0 0 24 Aug 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Primal-Dual Mesh Convolutional Neural Networks Francesco Milano Antonio Loquercio Antoni Rosinol Davide Scaramuzza Luca Carlone 3DPC AI4CE 46 89 0 23 Oct 2020