"3d representation learning" Papers

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Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation

Zihan Wang, Seungjun Lee, Gim Hee Lee

NeurIPS 2025oralarXiv:2505.11383

LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion

Biao Zhang, Peter Wonka

ICLR 2025posterarXiv:2410.01295

Nautilus: Locality-aware Autoencoder for Scalable Mesh Generation

Yuxuan Wang, Xuanyu Yi, Haohan Weng et al.

ICCV 2025posterarXiv:2501.14317

Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data

Zhiyuan Ma, Xinyue Liang, Rongyuan Wu et al.

CVPR 2025posterarXiv:2503.21694

What We Miss Matters: Learning from the Overlooked in Point Cloud Transformers

Yi Wang, Jiaze Wang, Ziyu Guo et al.

NeurIPS 2025poster

NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields

Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini et al.

ECCV 2024posterarXiv:2404.01300

Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders

Yaohua Zha, Huizhen Ji, Jinmin Li et al.

AAAI 2024paperarXiv:2312.10726