"3d representation learning" Papers
14 papers found
Conference
Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation
Zihan Wang, Seungjun Lee, Gim Hee Lee
NEURIPS 2025oralarXiv:2505.11383
7
citations
Global-Aware Monocular Semantic Scene Completion with State Space Models
Shijie Li, Zhongyao Cheng, Rong Li et al.
ICCV 2025arXiv:2503.06569
1
citations
Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning
Yiyang Chen, Shanshan Zhao, Lunhao Duan et al.
ICCV 2025arXiv:2507.09102
LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion
Biao Zhang, Peter Wonka
ICLR 2025arXiv:2410.01295
11
citations
MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
Xu Han, Yuan Tang, Jinfeng Xu et al.
CVPR 2025arXiv:2503.18368
2
citations
Nautilus: Locality-aware Autoencoder for Scalable Mesh Generation
Yuxuan Wang, Xuanyu Yi, Haohan Weng et al.
ICCV 2025arXiv:2501.14317
10
citations
Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training
Xiaoyang Xiao, Runzhao Yao, Zhiqiang Tian et al.
NEURIPS 2025
Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data
Zhiyuan Ma, Xinyue Liang, Rongyuan Wu et al.
CVPR 2025arXiv:2503.21694
2
citations
Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views
Xiangdong Zhang, Shaofeng Zhang, Junchi Yan
ICCV 2025arXiv:2509.01250
2
citations
What We Miss Matters: Learning from the Overlooked in Point Cloud Transformers
Yi Wang, Jiaze Wang, Ziyu Guo et al.
NEURIPS 2025
GeoAuxNet: Towards Universal 3D Representation Learning for Multi-sensor Point Clouds
Shengjun Zhang, Xin Fei, Yueqi Duan
CVPR 2024arXiv:2403.19220
5
citations
Multi-modal Relation Distillation for Unified 3D Representation Learning
Huiqun Wang, Yiping Bao, Panwang Pan et al.
ECCV 2024arXiv:2407.14007
4
citations
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini et al.
ECCV 2024arXiv:2404.01300
22
citations
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
Yaohua Zha, Huizhen Ji, Jinmin Li et al.
AAAI 2024paperarXiv:2312.10726
61
citations