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Point Cloud Pre-training with Diffusion Models

Point Cloud Pre-training with Diffusion Models

Computer Vision and Pattern Recognition (CVPR), 2023
25 November 2023
Xiao Zheng
Xiaoshui Huang
Guofeng Mei
Yuenan Hou
Zhaoyang Lyu
Bo Dai
Wanli Ouyang
Yongshun Gong
ArXiv (abs)PDFHTML

Papers citing "Point Cloud Pre-training with Diffusion Models"

24 / 24 papers shown
Title
DAP-MAE: Domain-Adaptive Point Cloud Masked Autoencoder for Effective Cross-Domain Learning
DAP-MAE: Domain-Adaptive Point Cloud Masked Autoencoder for Effective Cross-Domain Learning
Ziqi Gao
Qiufu Li
Linlin Shen
3DPC
104
1
0
24 Oct 2025
Semantic Communication Enabled Holographic Video Processing and Transmission
Semantic Communication Enabled Holographic Video Processing and Transmission
Jingkai Ying
Zhiyuan Qi
Yulong Feng
Zhijin Qin
Zhu Han
Rahim Tafazolli
Yonina C. Eldar
56
0
0
15 Oct 2025
Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation
Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation
Qianguang Zhao
Dongli Wang
Yan Zhou
Jianxun Li
Richard Irampa
DiffM
108
0
0
16 Sep 2025
Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views
Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views
Xiangdong Zhang
Shaofeng Zhang
Junchi Yan
3DPC
149
1
0
01 Sep 2025
4D Visual Pre-training for Robot Learning
4D Visual Pre-training for Robot Learning
Chengkai Hou
Yanjie Ze
Y. Fu
Zeyu Gao
Songbo Hu
Yue Yu
Shanghang Zhang
Huazhe Xu
160
3
0
24 Aug 2025
Masked Clustering Prediction for Unsupervised Point Cloud Pre-training
Masked Clustering Prediction for Unsupervised Point Cloud Pre-training
Bin Ren
Xiaoshui Huang
Mengyuan Liu
Hong Liu
Fabio Poiesi
Andrii Zadaianchuk
Guofeng Mei
3DPCISeg
120
0
0
12 Aug 2025
LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences
LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences
Ao Liang
Youquan Liu
Yu Yang
Dongyue Lu
Linfeng Li
Lingdong Kong
Huaici Zhao
Wei Tsang Ooi
VGen
200
4
0
05 Aug 2025
Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion
Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion
Wentao Qu
Guofeng Mei
Jing Wang
Yujiao Wu
Xiaoshui Huang
Liang Xiao
DiffM
164
2
0
05 Aug 2025
PointLAMA: Latent Attention meets Mamba for Efficient Point Cloud Pretraining
PointLAMA: Latent Attention meets Mamba for Efficient Point Cloud Pretraining
Xuanyu Lin
Xiaona Zeng
Xianwei Zheng
Xutao Li
79
1
0
23 Jul 2025
PointVDP: Learning View-Dependent Projection by Fireworks Rays for 3D Point Cloud Segmentation
PointVDP: Learning View-Dependent Projection by Fireworks Rays for 3D Point Cloud Segmentation
Yang Chen
Yueqi Duan
Haowen Sun
Ziwei Wang
Jiwen Lu
Yap-Peng Tan
3DPC
150
0
0
09 Jul 2025
FRIDU: Functional Map Refinement with Guided Image Diffusion
FRIDU: Functional Map Refinement with Guided Image Diffusion
Avigail Cohen Rimon
Mirela Ben Chen
Or Litany
DiffM
180
0
0
17 Jun 2025
UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting
UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian SplattingComputer Vision and Pattern Recognition (CVPR), 2025
Ziyi Wang
Yanran Zhang
Jie Zhou
Jiwen Lu
3DPC3DGS
192
3
0
11 Jun 2025
HyMamba: Mamba with Hybrid Geometry-Feature Coupling for Efficient Point Cloud Classification
HyMamba: Mamba with Hybrid Geometry-Feature Coupling for Efficient Point Cloud Classification
Bin Liu
Changbo Wang
Xuelian Liu
Guan Xi
Guan Xi
Mamba
246
0
0
16 May 2025
PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning
PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud LearningComputer Vision and Pattern Recognition (CVPR), 2025
Song Wang
Xiaolu Liu
Lingdong Kong
Jianyun Xu
Chunyong Hu
Gongfan Fang
Wentong Li
Jianke Zhu
Xinchao Wang
382
3
0
22 Apr 2025
Hyperbolic Diffusion Recommender Model
Hyperbolic Diffusion Recommender ModelThe Web Conference (WWW), 2025
Meng Yuan
Yutian Xiao
Wei Chen
Chu Zhao
Deqing Wang
Fuzhen Zhuang
283
6
0
02 Apr 2025
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Yaohua Zha
Tao Dai
Yanzi Wang
Hang Guo
Bin Chen
Zhihao Ouyang
Chunlin Fan
3DPC
326
1
0
13 Oct 2024
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Dingkang Liang
Tianrui Feng
Xin Zhou
Yumeng Zhang
Zhikang Zou
Xiang Bai
290
25
0
10 Oct 2024
Diffusion Models in 3D Vision: A Survey
Diffusion Models in 3D Vision: A Survey
Zhen Wang
Dongyuan Li
Xue Liu
Tianyu He
Jiang Bian
Renhe Jiang
MedIm
652
11
0
07 Oct 2024
Bringing Masked Autoencoders Explicit Contrastive Properties for Point
  Cloud Self-Supervised Learning
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning
Bin Ren
Guofeng Mei
D. Paudel
Weijie Wang
Yawei Li
Mengyuan Liu
Rita Cucchiara
Luc Van Gool
Andrii Zadaianchuk
3DPC
198
17
0
08 Jul 2024
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
Ayumu Saito
Prachi Kudeshia
Jiju Poovvancheri
3DPC
496
12
0
25 Apr 2024
PointMamba: A Simple State Space Model for Point Cloud Analysis
PointMamba: A Simple State Space Model for Point Cloud Analysis
Dingkang Liang
Xin Zhou
Wei Xu
Xingkui Zhu
Zhikang Zou
Xiaoqing Ye
Xinyu Wang
Xiang Bai
390
192
0
16 Feb 2024
GTNet: Graph Transformer Network for 3D Point Cloud Classification and
  Semantic Segmentation
GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation
Wei Zhou
Qian Wang
Weiwei Jin
X. Shi
Yong Yu
ViT3DPC
194
5
0
24 May 2023
EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder
EPCL: Frozen CLIP Transformer is An Efficient Point Cloud EncoderAAAI Conference on Artificial Intelligence (AAAI), 2022
Xiaoshui Huang
Zhou Huang
Shengjia Li
Wentao Qu
Tong He
Yuenan Hou
Yifan Zuo
Wanli Ouyang
262
25
0
08 Dec 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic ModelsMachine Intelligence Research (MIR), 2022
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
638
803
0
02 Nov 2022
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