Cover Image

Adaptive Point-Prompt Tuning: Fine-Tuning Heterogeneous Foundation Models for 3D Point Cloud Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Mengke, Chen, Lihao, Zhang, Peng, Cheung, Yiu-ming, Huang, Hui
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers
by: Li, Mengke, et al.
Published: (2024)

Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition
by: Li, Mengke, et al.
Published: (2024)

PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation
by: Shang, Chikai, et al.
Published: (2025)

Semantic-guided Fine-tuning of Foundation Model for Long-tailed Visual Recognition
by: Peng, Yufei, et al.
Published: (2025)

Mantis: Mamba-native Tuning is Efficient for 3D Point Cloud Foundation Models
by: Guo, Zihao, et al.
Published: (2026)

TYrPPG: Uncomplicated and Enhanced Learning Capability rPPG for Remote Heart Rate Estimation
by: Chen, Taixi, et al.
Published: (2025)

Long-Tailed Visual Recognition via Permutation-Invariant Head-to-Tail Feature Fusion
by: Li, Mengke, et al.
Published: (2025)

Feature Fusion from Head to Tail for Long-Tailed Visual Recognition
by: Li, Mengke, et al.
Published: (2023)

Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
by: Liang, Dingkang, et al.
Published: (2024)

Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition
by: Li, Mengke, et al.
Published: (2023)

Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
by: Zhou, Xin, et al.
Published: (2024)

GFT: Graph Feature Tuning for Efficient Point Cloud Analysis
by: Dhakal, Manish, et al.
Published: (2025)

UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis
by: Ai, Zixiang, et al.
Published: (2025)

GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting
by: Huang, Xiufeng, et al.
Published: (2024)

Robust Fine-tuning for Pre-trained 3D Point Cloud Models
by: Zhang, Zhibo, et al.
Published: (2024)

P3T: Prototypical Point-level Prompt Tuning with Enhanced Generalization for 3D Vision-Language Models
by: Jung, Geunyoung, et al.
Published: (2026)

CARE: Class-Adaptive Expert Consensus for Reliable Learning with Long-Tailed Noisy Labels
by: Li, Mengke, et al.
Published: (2026)

Foundational Models for 3D Point Clouds: A Survey and Outlook
by: Thengane, Vishal, et al.
Published: (2025)

Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
by: Tang, Yiwen, et al.
Published: (2023)

Parameter-efficient Prompt Learning for 3D Point Cloud Understanding
by: Sun, Hongyu, et al.
Published: (2024)

Semantic Hierarchical Prompt Tuning for Parameter-Efficient Fine-Tuning
by: Zhu, Haowei, et al.
Published: (2024)

An Adapter-free Fine-tuning Approach for Tuning 3D Foundation Models
by: Paul, Sneha, et al.
Published: (2026)

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model
by: Ai, Zixiang, et al.
Published: (2025)

PointCFormer: a Relation-based Progressive Feature Extraction Network for Point Cloud Completion
by: Zhong, Yi, et al.
Published: (2024)

PointLLM-R: Enhancing 3D Point Cloud Reasoning via Chain-of-Thought
by: Chen, Chaoqi, et al.
Published: (2026)

Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
by: Sun, Hongyu, et al.
Published: (2024)

Point Cloud Quantization through Multimodal Prompting for 3D Understanding
by: Li, Hongxuan, et al.
Published: (2025)

DINOReg: Strong Point Cloud Registration with Vision Foundation Model
by: Chen, Congjia, et al.
Published: (2025)

Multimodal Robust Prompt Distillation for 3D Point Cloud Models
by: Gu, Xiang, et al.
Published: (2025)

PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud
by: Zhang, Tunhou, et al.
Published: (2022)

When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels
by: Liu, Yifan, et al.
Published: (2024)

Debiased Fine-Tuning for Vision-language Models by Prompt Regularization
by: Zhu, Beier, et al.
Published: (2023)

Efficient Spiking Point Mamba for Point Cloud Analysis
by: Wu, Peixi, et al.
Published: (2025)

3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition
by: Huang, Yuanmin, et al.
Published: (2025)

Technical Report for ICRA 2025 GOOSE 3D Semantic Segmentation Challenge: Adaptive Point Cloud Understanding for Heterogeneous Robotic Systems
by: Zhang, Xiaoya
Published: (2025)

Ask, Attend, Attack: A Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models
by: Zeng, Qingyuan, et al.
Published: (2024)

QuantTune: Optimizing Model Quantization with Adaptive Outlier-Driven Fine Tuning
by: Chen, Jiun-Man, et al.
Published: (2024)

PointVDP: Learning View-Dependent Projection by Fireworks Rays for 3D Point Cloud Segmentation
by: Chen, Yang, et al.
Published: (2025)

ZeroReg: Zero-Shot Point Cloud Registration with Foundation Models
by: Wang, Weijie, et al.
Published: (2023)

Towards Foundation Models for 3D Scene Understanding: Instance-Aware Self-Supervised Learning for Point Clouds
by: Yang, Bin, et al.
Published: (2026)