Any2Point: Empowering Any-modality Large Models for Efficient 3D
Understanding

Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding

11 April 2024

Shanghang Zhang

Xuelong Li

Papers citing "Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding"

8 / 8 papers shown

Title
LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Rendering and Control Delin Qu Qizhi Chen Pingrui Zhang Xianqiang Gao Bin Zhao Bin Zhao Dong Wang Xuelong Li AI4CE 34 7 0 23 Jun 2024
RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision Mingjie Pan Jiaming Liu Renrui Zhang Peixiang Huang Xiaoqi Li Bing Wang Hongwei Xie Li Liu Shanghang Zhang 52 75 0 18 Sep 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 167 241 0 28 May 2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition Shoufa Chen Chongjian Ge Zhan Tong Jiangliu Wang Yibing Song Jue Wang Ping Luo 138 631 0 26 May 2022
PointCLIP: Point Cloud Understanding by CLIP Renrui Zhang Ziyu Guo Wei Zhang Kunchang Li Xupeng Miao Bin Cui Yu Qiao Peng Gao Hongsheng Li VLM 3DPC 161 428 0 04 Dec 2021
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
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 236 780 0 14 Oct 2021
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016